Databricks

Artefact UK - H2 2026 Director Job Description WHO WE ARE Artefact is a new generation of data and AI consultancy, and one of the fastest growing. In the last six months alone we've grown from 2,000 to 2,500 people, now serving over 3,000 clients across 36 offices in 27 countries. Founded in 2014 and backed by Cinven, we're Europe's largest pureplay consultancy in data and AI, and we're not slowing down. We specialise in data consulting and AI-driven transformation, working with organisations across the globe to turn data into measurable business impact, creating real change in how businesses operate, compete, and grow. With 40% of our people in consulting roles, we have the critical mass to deliver full transformation at scale. We don't just offer strategies. We frame problems, design solutions, build the technology, and operate what we deliver. That distinction, between those who propose and those who implement, is central to how we work. We're technology-agnostic but technology-deep. We hold premium partnerships with the platforms shaping this industry, including Google, Anthropic, OpenAI, Databricks, and AWS, giving our consultants direct access to the newest capabilities before they reach the mainstream. Half of our projects involve collaboration across more than two offices, so the expertise you need is never far away, and our teams bring together AI specialists, data scientists, data engineers, and digital experts: the full range of talent required to reach the last mile of a transformation. Progression here is earned, not timed. We don't run on tenure. We run on impact, and strong performers move fast. If you want to build things that matter, at a pace that matches your ambition, this is where you do it. WHAT WE DO Our UK office is at an inflection point. We've built the foundations of a category-defining consultancy, and now we're scaling, fast. The shape of the team a year from now will look very different to today. Join now, and you're building the office before Artefact becomes a name every top consultant already knows. We work across a broad range of industries, including Retail Banking, Insurance, Private Equity, Energy & Utilities, Retail & E-commerce, CPG & FMCG, and Automotive, giving consultants the space to build real depth in one or two areas while staying genuinely exposed to others. It's one of the things people here value most. Our engagements run end to end, from strategy and governance through to delivery of high value data and AI solutions. The problems we work on are the ones organisations are genuinely wrestling with right now: Data Platform Strategy and Build, Generative AI Strategy, Agentic AI Strategy & Deployment, AI Governance and Assurance, Digital Transformation, and AI Adoption and Change. This work needs people who can operate at a strategic level in the morning and get into the technical weeds in the afternoon, and know when to do which. If that's the kind of work you want to be doing, we'd love to hear from you. We're looking for people who are genuinely energised by AI and data, and who want a hand in shaping how organisations and how people work change for the better. WHAT YOU WILL DO As a Director at Artefact UK, you will operate at the intersection of AI and data strategy, client leadership, and commercial growth. Reporting to the Partners and Managing Director, you own the AI and data agenda across a portfolio of clients, with Tech Leads and Managers reporting to you and running the day-to-day delivery of the engagements within it. This is a role for someone who is equally comfortable shaping a client's AI strategy at board level and building the playbook that lets Artefact deliver it again, better, for the next client.   * Technology leadership: You will take a client's business opportunities and pain points and match them to the right ML, AI or data engineering solution. You possess the technical depth required to engage in discussions regarding solution architecture and implementation details with a client’s Principal Engineers and Data Scientists. * AI use case leadership: You will work with client management and Artefact teams to identify and prioritise the AI use cases that create genuine differential value, and lead their development end to end, from ideation through to deployment and continuous improvement. You will build and maintain a library of use cases and solution sets that can be reused and adapted across the wider client base. * Data and analytics capability building: You will assess clients' current data and analytics maturity, spot the opportunities for rapid enhancement, and turn what you learn into a playbook that can be repeated across new clients.  * Senior client advisory and stakeholder relationships: You will work closely with client cross-functional teams, spanning technology and business, to ensure AI solutions integrate cleanly into how the organisation actually runs. You will build strong relationships with key stakeholders across your clients, and create a community of data leaders that shares knowledge and best practice across the portfolio, positioning Artefact as a genuine partner in that network rather than a supplier to it. * Commercial ownership and business development: You will lead pitches end-to-end, shaping the proposition, directing proposal development, and leading client-facing pitches and RFP responses, and you will contribute to pipeline management and opportunity prioritisation across the broader practice. * Thought leadership, innovation and talent development: You will stay ahead of developments in AI and data analytics, bring cutting-edge solutions and a network of trusted advisors to your clients, and contribute insights and recommendations that shape Artefact's own AI and data strategy. You will mentor and support the development of data and AI talent at Artefact, with particular attention to growing the Tech Leads and Managers who report to you. THE KIND OF PERSON THIS WORKS FOR  The Director role is for people who have already proven they can lead AI and data engagements and manage senior talent, and who are ready to be accountable for a portfolio of clients, a library of reusable solutions, and the technology leads who deliver against both. It is a step-change in scope, not just seniority. What we're looking for: * Around 10+ years of experience leading AI and data projects, with a strong, specific track record of delivering measurable business value for clients, ideally including several years spent working with consulting and technical teams together. * Deep expertise across AI technologies, machine learning, data analytics, and data management, paired with a strong understanding of AI and ML, data infrastructure and architecture, including data warehousing, and cloud-based solutions, so you can move fluidly between the strategic and the technical. * A track record you can speak to specifically, including engagements you have delivered, accounts you have grown, and pitches you have led. * Credible at C-suite level; confident engaging and influencing senior executives and stakeholders across a client organisation, not because you perform confidence, but because you have done the work and know what you are talking about. * Genuinely invested in developing other people; you mentor and support the technical talent around you, and you take building Artefact's data and AI capability as seriously as you take any individual engagement. We do not require a single career path to this role. Some of our strongest Directors came from tier-one consulting firms, some from private equity or in-house transformation leadership, and some grew here. What they share is deep AI and data expertise, the ability to earn trust at every level, and the judgement to know when to operate strategically and when to get into the technical details themselves. WHY YOU SHOULD JOIN ARTEFACT  * Exciting, cutting-edge projects at global scale: We deliver truly innovative work to blue chip clients across the globe, you will design and lead these initiatives.  * Genuinely diverse work and people: On any given week you might work alongside a data scientist, a C-level executive, directors and more, across sectors you wouldn't encounter anywhere else. * Transparent progression: A clear pathway to Partner level, with half-year reviews, honest feedback, and active coaching. * Global without the travel grind: Multi-market projects and a 2,500-person global network, London-based, & hybrid working. * A genuine culture of learning: From tool-specific training to testing the latest AI models to running client workshops on what you've found, you have the liberty to pursue what interests you and share it with the team.

Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services. With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their operations and protect what matters most - their people and assets. ---------------------------------------------------------------------------------------------------------------------------------- About the role The Junior Business & Data Analyst supports the Data Transformation Program by helping Data Domain Owners, Data Sponsors and Data Domain Stewards understand, assess and improve data quality and consistency across systems, platforms, business processes and data domains. The role provides hands-on business and data analysis to identify data issues, support root-cause analysis, document requirements, and contribute to practical remediation and prevention actions. The role initially focuses on the alignment of client-related data points across a complex system landscape, including 40+ Workforce Management systems, the central CRM platform and approximately 60 ERP applications. This requires the analyst to compare, map and validate client data across local, divisional and global applications, identify inconsistencies, document root causes and support practical remediation and prevention actions. While the initial assignment is client-data focused, the role is expected to remain flexible and move across domains, systems, applications and business processes as required by the Data Transformation Program. This may include domains such as Client, People, Finance, Contracts, Suppliers, Products & Services and Operational Events; processes such as lead-to-cash, hire-to-retire and procure-to-pay; and systems or platforms such as CRM, ERP, Workforce Management, HRIS, Learning Management, Microsoft Azure, Databricks, Microsoft Dynamics NAV / Business Central and other relevant local, divisional or global applications. We are looking for a motivated self-starter who is curious, proactive and comfortable working with modern tools and techniques. The successful candidate should be willing to explore and apply automation, robotic process automation, AI-assisted analysis and other emerging capabilities to reduce manual effort, improve data quality and accelerate insight generation. ---------------------------------------------------------------------------------------------------------------------------------- Responsibilities Business and Data Analysis * Support the analysis of data quality, completeness, consistency and usability across source systems, data platforms and reporting layers. * For the initial project, compare and align client-related data points across 40+ Workforce Management systems, the central CRM platform and approximately 60 ERP applications. * Assist in documenting end-to-end data flows, business processes, CRUD activities and handovers between business and IT teams. * Map data elements across systems to identify mismatches, missing values, duplicates, inconsistent definitions and recurring defects. * Prepare clear analysis outputs, issue summaries and supporting evidence for Data Domain Owners, Sponsors and Stewards. Data Quality Improvement and Root-Cause Support * Support root-cause analysis for recurring data quality issues and help distinguish between data correction needs, process gaps, system limitations, integration issues and training needs. * Help define and track remediation actions with local, divisional and global stakeholders. * Support the preparation of data quality dashboards, scorecards, issue logs and action plans. * Monitor progress against agreed data quality improvement activities and escalate risks or blockers where needed. Requirements and Functional Specification Support * Gather and document business and data requirements from data consumers, process owners and operational stakeholders. * Translate data issues and business needs into clear functional requirements for system enhancements, automation or process changes. * Identify opportunities to use automation, robotic process automation and AI-assisted techniques to reduce repetitive manual work, improve data validation and support scalable remediation. * Support impact analysis by collecting relevant context, examples and affected data elements. * Maintain structured documentation of requirements, decisions, assumptions and open questions. Stakeholder Coordination and Communication * Collaborate with local, divisional and global business teams across Sales, Account Management, People, Finance, Operations, Legal and other relevant functions. * Work closely with divisional and local IT teams, the Global Data Platform team, Data Governance and Enterprise Data Architecture. * Prepare meeting materials, analysis summaries and follow-up notes to support aligned decision-making. * Communicate data findings in a simple, structured and business-friendly way. Data Governance and Documentation * Support documentation of data definitions, data standards, business rules, ownership and stewardship responsibilities. * Contribute to maintaining inventories of data issues, critical data elements, data quality rules and data improvement actions. * Help ensure that data practices are aligned with governance, privacy, compliance and security expectations. * Support adoption of common data definitions and the Common Information Model across domains and systems. ---------------------------------------------------------------------------------------------------------------------------------- Requirements * Strong analytical mindset with the ability to investigate data issues and identify patterns, inconsistencies and root causes across multiple systems. * Good understanding of business processes and interest in how data supports operational, financial and commercial decision-making. * Ability to work with unfamiliar systems and applications, quickly understand their data structures and translate findings into business language. * Ability to structure information clearly, document findings and communicate complex topics in simple terms. * Good collaboration skills and confidence working with stakeholders across business and IT. * Working knowledge of Excel and/or Power BI; familiarity with SQL, data platforms, ERP, CRM, Workforce Management, HRIS or MDM tools is an advantage. * Curiosity and practical interest in modern digital tools and techniques, including automation, robotic process automation and AI, to improve productivity and analysis quality. * Attention to detail and ability to work in a structured way across multiple tasks, issues and stakeholders. * Self-starter mindset with the motivation to take ownership, learn quickly, ask good questions and progress analysis with limited supervision. * Fluent written and spoken English. Experience and Education * Bachelor’s degree or equivalent experience in Business Administration, Information Systems, Data Analytics, Finance, Engineering or a related field. * 0–3 years of experience in business analysis, data analysis, reporting, process improvement, data quality or related areas. * Experience from international, matrixed or multi-system environments is beneficial but not required. * Interest in data governance, master data management, enterprise data models, system integration and digital transformation. * Interest in using modern technology to solve business and data problems, including low-code tools, process automation, AI-assisted analysis and data quality automation. * Experience or interest in working across several business domains and system types, rather than being limited to one application or function. ---------------------------------------------------------------------------------------------------------------------------------- Working conditions This role is open for candidates based in: * Spain - Madrid or Barcelona * Poland * Sweden * Colombia * Mexico * India - Gurugram It's a hybrid working model (office regulations depending on the specific country). ---------------------------------------------------------------------------------------------------------------------------------- What we offer At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of skills and development opportunities. If this sounds like the right next step in your professional career, don't hesitate and apply!

HiQ växer inom AI, data och cloud – och vi letar nu efter Data Engineers som både vill utveckla våra kunders lösningar och vara en del av vår AI-satsning framåt. Som Data Engineer på HiQ kommer du bland annat att bygga och implementera skalbara dataplattformar i molnet, från ingestion via ETL/ELT till realtidsanalys och AI-integration. Du kommer också designa och optimera datamodeller och dataflöden, inklusive streaming-teknologier som Apache Kafka eller motsvarande, samt implementera robusta CI/CD-processer och arbeta med IaC.  Vi söker dig med: * Minst 5 års erfarenhet av data engineering och molnbaserade dataplattformar * Erfarenhet av Cloud-lösningar (Azure, AWS och/eller GCP) * Goda kunskaper i Python och SQL för att hantera och optimera dataflöden * Erfarenhet av Databricks, Snowflake eller liknande plattformar * Erfarenhet av att arbeta med ETL/ELT-verktyg och ramverk (ex. Airflow, dbt) * Högskole-/Universitetsexamen i datateknik, datavetenskap, systemvetenskap eller annan relevant inriktning * Flytande i svenska och engelska i både tal och skrift. Meriterande: * Vana av att sätta upp och underhålla CI/CD-pipelines för data- och molnprojekt * Erfarenhet av Kubernetes och Docker * Erfarenhet av AI/ML-workflows * Vana av att jobba kundnära i tekniska projekt   Vi tror att du är en person som älskar att både bygga teknik och skapa värde för kunder. Du gillar att vara rådgivande, dela med dig av din expertis och du har en naturlig förmåga att driva projekt framåt. Om HiQ: Att vara HiQare är både utmanande och omväxlande. Vi är alla konsulter vilket innebär att vi i våra projekt hos kund eller in-house får prova nytt och bli exponerad för nya branscher, arbetsplatser och tech-stacks. Variationen är stor och utvecklingstakten snabb. Hos oss får du bidra och bemästra dina starkaste kompetenser, men även utforska och utveckla nya. Med rätt attityd och kompetens bidrar du med värde både i ditt uppdrag och till dina kollegor på HiQ.    Hos oss hittar du allt från marknadens vassaste utvecklare, testare och hackers, till projektledare, agila coacher och designers. Även om våra kompetenser är många och olika så har vi mycket gemensamt – vi tycker om att driva utveckling, att förbättra och förenkla... och framför allt – att ha kul på vägen!    HiQ är kulturdrivet, inte regelstyrt, och det gör att man kan vara sig själv till 100%. En följd av det är att man som HiQ:are tar sitt jobb seriöst, men inte alltid sig själva :) Det som genomsyrar oss all är viljan och ambitionen att bidra till att göra världen lite bättre med hjälp av teknik och kommunikationslösningar som förenklar människors liv. På riktigt.  Vi ser fram emot din ansökan<3

At the Vitrolife Group, we work every day to unlock the full potential of science and technology to reduce the barriers towards building a family. Together we help our customers and their patients to fulfill the dream of having a baby. Shape the Platform, Enable Domains, Build for Scale We are looking for a Senior Data Engineer to join our Group Analytics enabling team. This is a key role in establishing and evolving our global data platform, with Microsoft Fabric and the Azure ecosystem as the primary technology direction. You will combine hands-on data engineering with architectural responsibility, helping us build scalable, governed, and automated data platform capabilities. The role is central to our ambition to move from fragmented and manually maintained legacy solutions toward a modern, domain-oriented data platform that enables trusted analytics, self service, and future AI/ML use cases. This is an opportunity for someone who enjoys building for scale, setting technical direction, and enabling others through strong engineering standards, reusable patterns, and practical guidance. Your Mission As a Senior Data Engineer, you will help design, build, and mature our global data platform. You will work with Microsoft Fabric, lakehouse and medallion architecture, reusable data pipelines, analytical data models, and modern engineering practices. You will play an important role in enabling a federated, data mesh-inspired operating model, where domain teams can own and evolve their data products within clear technical and governance guardrails. Depending on your profile, you may also take architectural responsibility for selected platform capabilities, patterns, and technical decisions. Experience from other modern lakehouse platforms, such as Databricks, Spark, or PySpark, is highly relevant where it strengthens your ability to design scalable and automated data solutions. What You’ll Do • Help design, build, and evolve our Microsoft Fabric-based global data platform, including scalable pipelines, lakehouse patterns, and analytical data models. • Develop reusable engineering standards, templates, and governed data objects that enable domain teams to build and manage data products. • Apply modern engineering practices such as Git, CI/CD, monitoring, documentation, testing, and infrastructure-as-code principles such as Terraform. • Embed security, access control, GDPR/PII handling, lineage, and metadata requirements into platform delivery. • Work closely with enterprise architects, data engineers, data analysts, data scientists, business stakeholders, and domain teams. • Mentor colleagues and support the modernization and deprecation of legacy BI/DW solutions. What You Bring • Senior-level data engineering experience with strong hands-on delivery, architectural understanding, and ability to design scalable platform solutions. • Strong SQL and Python skills, with Microsoft Fabric experience or transferable lakehouse expertise from Databricks, Spark, PySpark, or Delta Lake. • Experience with production-grade data pipelines, medallion/lakehouse architecture, analytical data modeling, and domain-oriented data design. • Experience with modern engineering practices such as Git, CI/CD, DevOps, monitoring, and preferably infrastructure-as-code principles such as Terraform. • Good understanding of data governance, metadata, lineage, access control, GDPR, and PII handling. • Collaborative mindset, with the ability to create reusable patterns and translate business and analytical needs into scalable technical solutions. Why Join Us? You will be part of shaping the foundation for how data is managed, governed, and used across the organization. This is a chance to help build the platform many data engineers wish they could build from the start: scalable, secure, automated, metadata-driven, and designed for future AI and agent-enabled ways of working. You will influence platform architecture, establish reusable engineering patterns, and help domain teams become more self-sufficient with data. The role contributes directly to the shift from fragmented legacy solutions toward a trusted global data platform for analytics, self-service, and future AI/ML capabilities. You will join an enabling analytics team with a clear ambition: to make data more accessible, reusable, and reliable across the business. Please note that this role is based in Valencia or Gothenburg. Applications will be reviewed on an ongoing basis, so please submit your application as soon as possible. Vitrolife Group is a global provider of medical devices and genetic services. Based on science and advanced research capabilities, we develop services and products for personalized genetic information and medical device products. We support our customers by improving their clinical practice for the patient's outcome of fertility treatment. We are currently approximately 1 100 colleagues worldwide, with headquarters in Gothenburg, Sweden. Vitrolife Group's products and services are available in more than 110 countries through our own presence in 30 countries and a network of distributors. Vitrolife Group is a sustainable market leader and aims to be the preferred partner for IVF-clinics by providing superior products and services with the vision of fulfilling the dream of having a baby. The Vitrolife share is listed on Nasdaq Stockholm.

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. THE ROLE You won't just carry a bag — you'll run a franchise. As a Commercial Expansion Account Executive at Snowflake, you own a portfolio of existing customers and are accountable for defending the base, driving healthy consumption growth, and expanding into new workloads and use cases. You'll partner with Solutions Engineers, Customer Success, and Services Delivery to turn customers into advocates and single-workload accounts into strategic platforms. This is not a renewals desk. You'll prospect within your install base, identify whitespace, build multi-threaded executive relationships, and close net-new expansion business — all while ensuring your customers are consuming Snowflake efficiently and getting measurable business value. WHAT YOU'LL DO Territory Strategy & Pipeline Generation * Own a defined patch of commercial accounts (<500 employees) and build a data-driven territory plan using propensity scoring, technographic signals, and consumption health indicators * Apply strategic tiering (20/80 rule) to focus time on high-potential "Sleeping Giants" — accounts with high whitespace relative to current spend * Consistently achieve 10+ external customer meetings per week through disciplined outreach rhythms * Map accounts to campaign plays (e.g., BI Consolidation, AI/ML expansion, Databricks defence) based on their tech stack and business signals Account Expansion & Deal Execution * Source, progress, and close expansion use cases using MEDDPICC methodology * Identify and articulate value hypotheses (Why Anything? Why Now? Why Snowflake?) tailored to each account's business priorities * Navigate complex, multi-persona deals — from technical champions to CFO-level economic buyers * Negotiate renewals, multi-year commitments, and capacity deals anchored in business value, not discounts Consumption Health & Customer Success * Distinguish between healthy and unhealthy consumption; proactively address inefficiencies before they become churn risk * Understand modern data architecture (transformation layers, BI performance, serverless economics) to advise customers on optimising their Snowflake deployment * Convert cost savings from efficiency improvements into budget for new workloads — turning defence into offence Competitive Defence * Protect the install base against competitive threats (Databricks, AWS-native, Azure Synapse) using TCO analysis, architectural advantages, and "Serverless Tax" positioning * Build proactive competitive strategies rather than reactive objection handling WHAT WE'RE LOOKING FOR Must-Have * 3+ years in a quota-carrying SaaS sales role with demonstrable pattern of achievement (top 20% attainment preferred) * Experience managing and expanding an existing customer book — not exclusively net-new acquisition * Ability to articulate technical value propositions to both technical practitioners and C-level executives * Proven prospecting discipline within an install base: pipeline self-sourced, not inherited * Familiarity with consumption-based or usage-based commercial models * Fluency in a structured sales methodology (MEDDPICC, MEDDICC, or equivalent) Strongly Preferred * Experience selling data, analytics, AI/ML, or cloud infrastructure solutions * Understanding of modern data stack architecture (data warehousing, ELT, BI tooling, data engineering) * Demonstrated use of AI/automation tools to enhance productivity (meeting prep, follow-up, personalisation, research) * Track record navigating competitive displacement scenarios * Experience with multi-year deal structuring and commercial negotiation (including MSA-level discussions) Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

På Knowit Datalytics i Stockholm söker vi en senior profil som vill kombinera teknisk spets med verklig påverkan. Här får du arbeta nära kunder, driva viktiga teknikval och vara med och designa, bygga och vidareutveckla moderna data-plattformar baserade på Microsoft Fabric, Azure och närliggande molntjänster. Det här är rollen för dig som vill ha en tydligt senior position där du både bygger själv och leder tekniska vägval – med stor möjlighet att påverka såväl kundernas utveckling som vår fortsatta satsning inom Data & AI. Om rollen Som Lead Data Engineer / Data Architect får du en central roll i kunduppdrag där moderna dataplattformar står i centrum. Du kombinerar teknisk spets med affärsförståelse och hjälper kunder att gå från ambition och målbild till hållbara, skalbara lösningar som skapar verkligt värde. Du arbetar nära verksamhet, tekniska beslutsfattare, arkitekter och utvecklingsteam och blir en viktig rådgivare i frågor som rör arkitektur, skalbarhet, säkerhet och långsiktig utveckling. Här får du möjlighet att påverka på riktigt – både strategiskt och tekniskt. Du kan till exempel arbeta med greenfield-plattformar, modernisering av befintliga datamiljöer, Fabric-adoption, lakehouse/data warehouse-design, integrationslösningar och AI-redo datagrund. Det här är en roll för dig som vill kombinera hands-on leverans med rådgivning, arkitektur och tekniskt ledarskap i uppdrag som ligger högt på kundernas agenda. Vem är du? Vi tror att du har flera års erfarenhet av att bygga moderna dataplattformar i molnet och att du idag arbetar som Senior Data Engineer, Lead Data Engineer, Analytics Engineer eller Data Architect. Du är trygg i tekniken, van att diskutera lösningsdesign och målarkitektur med kunder och beslutsfattare, och motiveras av att få använda din kompetens där den gör verklig skillnad. Du trivs i konsultrollen, gillar att ta ansvar från idé till leverans och drivs av att skapa robusta, genomtänkta lösningar som kunderna verkligen får nytta av. Samtidigt uppskattar du att arbeta i en miljö där hög teknisk nivå kombineras med samarbete, kunskapsdelning och entreprenörsanda. Det här ser vi som viktigt för rollen · Praktisk erfarenhet av att designa och bygga moderna dataplattformar i Microsoft Fabric, eller stark närliggande erfarenhet från Azure-baserade dataplattformar som Azure Synapse, Azure Data Factory eller Databricks · God förståelse för dataarkitektur, datamodellering och design av lakehouse- och data warehouse-lösningar · Mycket goda kunskaper i SQL samt erfarenhet av Python, PySpark eller liknande för transformation och automatisering · Erfarenhet av ETL/ELT, pipelines, integrationer och DataOps/CI/CD i molnbaserade miljöer · Förmåga att ta tekniskt ansvar, leda vägval och samarbeta nära både kund och utvecklingsteam · God kommunikativ förmåga på svenska och engelska Meriterande erfarenheter · Microsoft Purview, data governance och lineage · Snowflake, dbt eller andra moderna transformationsramverk · AI-plattformar, MLOps eller lösningar som möjliggör generativ AI · Azure Landing Zones, säkerhetsmönster och bredare cloud architecture-erfarenhet · Power BI och förståelse för hela kedjan från dataplattform till konsumtion Erfarenhet av Power BI är alltså meriterande, men rollen är i första hand engineering- och plattformstung snarare än rapport- och visualiseringsfokuserad. Som person är du nyfiken, lösningsorienterad och trygg i dialogen med både kunder och kollegor. Du gillar att dela med dig av din kunskap och trivs i miljöer där kvalitet, samarbete och teknisk utveckling går hand i hand. AI och data hos Knowit Datalytics Hos oss på Datalytics ser vi AI som en naturlig del av moderna dataplattformar och data engineering – och som en möjlighet att skapa nästa generations lösningar för våra kunder. Vi bygger lösningar där robusta datapipelines och moderna dataplattformar möjliggör generativ AI, avancerad analys och smartare beslutsstöd. För oss handlar AI inte om hype, utan om att skapa konkret affärsvärde genom rätt dataarkitektur, rätt teknikval och stark genomförandekraft. Du behöver inte vara expert inom AI idag, men vi tror att du är nyfiken på hur AI och data engineering tillsammans förändrar framtidens system och plattformar. Vi erbjuder • Möjlighet att arbeta i strategiskt viktiga kunduppdrag där moderna dataplattformar, integrationer och AI står högt på agendan • En tydligt senior roll med stor påverkan på teknikval, arkitektur, leverans och utvecklingen av vårt erbjudande inom Data & AI • En vardag där du får kombinera hands-on utveckling med rådgivning, arkitektur och tekniskt ledarskap • Möjlighet att arbeta tillsammans med erfarna kollegor med hög teknisk nivå och stark vilja att utvecklas tillsammans • Kompetensutveckling genom certifieringar, utbildningar, kunskapsdelning och uppdrag som utmanar och utvecklar dig • Ett starkt team iStockholm, korta beslutsvägar och en kultur präglad av frihet under ansvar, samarbete och entreprenörskap Vill du vara med och bygga nästa generations dataplattformar, ta en nyckelroll i strategiskt viktiga kunduppdrag och samtidigt vara med och forma framtidens Data & AI-erbjudande? Då ser vi fram emot din ansökan!

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. THE ROLE Join the team behind Neo4j Graph Analytics for Snowflake, our Snowflake Native App that brings the full power of Neo4j Graph Data Science directly into customers' Snowflake accounts, with no data movement required. You'll work on a product that lives natively inside Snowflake: a containerized Java + Python runtime, a SQL-first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data scientists across financial services, supply chain, telco, and beyond, who use it to run PageRank, community detection, pathfinding, and node embeddings against the warehouses where their data already lives. This is a hands-on, mid-to-senior role at the intersection of graph analytics, cloud-native distribution, and DevOps, with a meaningful say in the platform's technical direction. WHAT YOU'LL DO * Build and evolve the Neo4j Graph Analytics for Snowflake application, embedding Neo4j Graph Data Science into the Snowflake platform. * Design and improve our SQL-facing API: stored procedures, UDFs, and the surface area customers call from their warehouses. * Own significant parts of the build, release, and deployment pipeline: Snowflake CLI, Gradle, container images, and the Java/Python runtimes that execute inside Snowpark Container Services. * Improve the platform's security posture: caller's rights vs. owner's rights stored procedures, restricted caller's rights (RCR), grants, and proactive image scanning. * Collaborate with customers and Solution Engineers to turn real-world requirements into scalable features. * Contribute to operational excellence: runbooks, release processes, observability, and reproducible dev environments. WHAT YOU'LL BRING * 4+ years of professional experience building and shipping production-quality software. * Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar). * Solid grounding in at least one of Java or Python, and willingness to be effective in both. * A genuine DevOps mindset: comfortable owning build pipelines, container images, releases, and the operational side of a product. * Experience designing software for performance, scalability, and predictable cost on cloud infrastructure. BONUS POINTS * Hands-on experience with Snowflake, especially Native Apps, Snowpark Container Services, or building stored procedures and UDFs at scale. * Familiarity with Docker, OCI image registries, and security scanning tooling (Semgrep, Snyk, Trivy, etc.). * Understanding of graph theory and graph algorithms (centrality, community detection, pathfinding, embeddings), or strong curiosity to learn them. * Background in distributed systems, JVM performance tuning, or columnar/analytical query engines. Experience working in a distributed, remote-first team and shipping to enterprise customers. #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services. With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their operations and protect what matters most - their people and assets. AI Team at Securitas At Securitas, our colleagues show up every day to help keep communities and organizations safe. Our job in the AI team is to make sure they're equipped with the best tools and intelligence possible. We are Securitas' Specialized AI Team - the internal center of excellence for advanced, custom AI. We don't work on generic tools or off-the-shelf solutions. We build the AI capabilities that require deep technical and domain expertise, and that directly move the needle on how Securitas operates at scale. ---------------------------------------------------------------------------------------------------------------------------------- About the role You will be a key technical voice in a small, focused team - someone who shapes how we approach problems, not just solves them. You'll lead the design, development, and production deployment of ML and GenAI solutions that turn raw data into actionable intelligence across a range of real-world problems. The stack we work with Python · PyTorch · LLMs (OpenAI, Gemini, Claude, open-source) · RAG pipelines, Hugging Face · Python analytical tools (DuckDB, polars, Pandas, and more) · Streamlit & Dash · Claude Code · GitHub Copilot · React · Databricks · Docker · SQL/NoSQL · Azure/GCP ---------------------------------------------------------------------------------------------------------------------------------- Responsibilities * Owning the architecture of LLM-powered pipelines that extract structure and insight from large volumes of unstructured text, such as incident reports, operational logs, client data. * Designing and stress-testing end-to-end GenAI architectures (e.g. RAG), prompt strategies, and evaluation frameworks - relevance, faithfulness, hallucination rates, latency tradeoffs - and setting the bar for what "good" looks like on the team. * Building and productionizing workforce management models - demand forecasting, shift scheduling optimization, and attrition modeling - that help deploy officers more effectively. * Developing client churn models that give the business early, actionable retention signals. * Driving the end-to-end ML lifecycle: from problem framing and data strategy through to monitored, production-grade systems. * Translating ambiguous business problems into concrete technical roadmaps - and pushing back when the framing is wrong. * Mentoring junior data scientists and setting technical standards across the team. * Presenting findings, model behavior, and tradeoffs to senior stakeholders clearly and credibly. ---------------------------------------------------------------------------------------------------------------------------------- What you'll bring Must-haves * Around 5+ years of professional data science experience, with a clear track record of successes. * Deep Python skills and strong software engineering habits - your code is readable, tested, and maintainable. * Advanced NLP experience and hands-on work with LLMs at a level beyond prompt experimentation - fine-tuning, evaluation, deployment. * A rigorous approach to GenAI evaluation: you've built frameworks to measure output quality, catch failure modes, and make principled tradeoffs with full lifecycle thinking. * Experience with MLOps fundamentals: deployment, serving, and monitoring of models, CI/CD, Docker, application and service logging, and reproducible pipelines. * Using modern AI coding tools to work as a highly productive data scientist - rapidly exploring ideas, writing and refactoring code, and debugging faster while keeping a critical eye on outputs. * Strong analytical instincts - you can tell when a result is too good to be true and you know how to find out why. * Communication skills sharp enough to run a stakeholder presentation and a code review on the same day. Nice-to-haves * Experience with Databricks for large-scale data processing and collaborative workflows. * Familiarity with LLM evaluation frameworks (Ragas, LangSmith, or similar). * Hands-on experience with forecasting and optimization problems - scheduling, demand planning, or similar. * Experience building interactive data tools for end users, including front-end design, authentication layers, and logging. * Background in a domain where decisions have real operational consequences - logistics, healthcare, security, or similar. ---------------------------------------------------------------------------------------------------------------------------------- Working conditions The role is open for candidates based in Malmö or Stockholm (with preference for applicants in Malmö). It's a hybrid working model. ---------------------------------------------------------------------------------------------------------------------------------- What we offer At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of skills and development opportunities. If this sounds like the right next step in your professional career, don't hesitate and apply!

Forma framtidens datadrivna lösningar i molnet. Är du en erfaren Data Engineer som vill arbeta nära tekniken och bygga robusta dataplattformar i moderna molnmiljöer? Hos Knowit i Göteborg får du möjlighet att ta ett tekniskt ledarskap i uppdrag där kvalitet, skalbarhet och affärsvärde står i centrum – tillsammans med några av Sveriges mest datatunga myndigheter och företag. OM ROLLEN SOM SENIOR DATA ENGINEER PÅ KNOWIT Som Senior Data Engineer hos oss i Göteborg arbetar du med att designa och utveckla avancerade datalösningar i molnet. Du kommer arbeta med moderna principer inom datamodellering, semantic layers och data governance för att skapa robusta och framtidssäkra dataplattformar. Du tar ansvar för arkitekturval, implementation och optimering av pipelines, och fungerar som en teknisk förebild i teamet. Våra uppdrag spänner över både offentlig och privat sektor, där du är med och skapar lösningar där data blir en strategisk tillgång och en central del av verksamheten. DINA HUVUDSAKLIGA ARBETSUPPGIFTER INKLUDERAR: * Designa och implementera skalbara dataplattformar i moln (Azure, AWS, GCP) * Bygga och optimera datapipelines med Python och DBT * Säkerställa hög datakvalitet, prestanda och robusthet i komplexa system * Driva tekniska beslut och bidra till best practices inom data engineering * Stötta team och kunder i arkitektur- och designfrågor VÅR TEKNIKSTACK / VERKTYG OCH METODER * Python, SQL * Dagster, Airflow * DBT, Docker, Kubernetes * Snowflake, DataBricks, BigQuery * Molnplattformar: Azure, AWS, Google Cloud * CI/CD och Infrastructure as Code Vi uppmuntrar ständig teknisk utveckling och du får vara med och påverka både teknikval och arbetssätt i våra kunduppdrag. VEM SÖKER VI? Vi söker dig med minst 7 års erfarenhet som Data Engineer, som är redo att ta ett större ansvar i team och leveranser. Du har gedigen erfarenhet av molnbaserade lösningar, Python och DBT, och är van vid att arbeta nära både teknik och affär. Du är trygg i att leda tekniska diskussioner, fatta beslut och stötta andra. Samtidigt är du prestigelös och trivs i en kultur där samarbete och lärande står i fokus. Erfarenhet av AI och datadrivna organisationer är ett plus. VAD ERBJUDER KNOWIT I GÖTEBORG? Hos oss får du arbeta i uppdrag som gör verklig skillnad – från samhällsviktiga initiativ inom offentlig sektor till innovativa lösningar i industrin. Du får möjlighet att arbeta med välkända organisationer och myndigheter i en miljö där teknik, lärande och balans står i fokus. Vi erbjuder flexibilitet, ett centralt kontor i Göteborg och en kultur präglad av kunskapsdelning kultur, innovation, hållbarhet och en sund balans mellan arbete och privatliv. Vi har ett modern kontor i centrala Göteborg där vi ofta har aktiviter så som AW, föreläsningar och hackathons. ÄR DU REDO ATT TA NÄSTA STEG SOM SENIOR DATA ENGINEER? Välkommen med din ansökan och bli en del av Knowit i Göteborg! Det är just nu semestertider och vi vill förvarna att det kan ta längre tid än vanligt med respons från oss. Vi hoppas du har överseende med det och önskar dig en otroligt bra sommar!

Build modern Lakehouse solutions with real impact Are you a Data engineer or architect with a passion for Databricks and modern data platforms? Join Knowit in Malmö and help shape scalable, secure, and future ready Lakehouse solutions for leading organizations. Databricks Specialist at Knowit As a Databricks Specialist, you will design and build modern data platforms using Databricks and Lakehouse architecture. You will work across the full data lifecycle, from ingestion to advanced analytics, with a strong focus on performance, governance, and scalability. You will be part of Knowit Solutions Lakehouse, our national initiative across Malmö, Gothenburg, and Stockholm, where we bring together top expertise in Databricks and modern data architecture to deliver strategically important solutions for our clients. Your main responsibilities include: * Designing and implementing Databricks based Lakehouse solutions * Building and optimizing data pipelines for both batch and streaming data * Structuring data for analytics, AI, and ML use cases * Implementing and managing Unity Catalog for data governance * Collaborating with cross functional teams and client stakeholders * Contributing to architecture decisions and best practices in Data engineering Our tech stack, tools and ways of working * Databricks, Azure, AWS * Python, SQL, Apache Spark * Lakehouse, Delta Lake, Unity Catalog * DBT, Airflow * CI and CD, Git, Infrastructure as Code We value continuous learning and encourage you to grow within the Databricks ecosystem. Who are we looking for? We are looking for someone with experience in Data engineering, from mid level Data engineers to senior architects. You have: * Hands on experience with Databricks and cloud platforms * Solid skills in Python and SQL * A curious mindset and a collaborative approach Experience with AI and ML is a plus. What does Knowit Lakehouse offer in Malmö? Knowit is a Databricks partner and we collaborate closely on competence development, initiatives, and client engagements. You will work both in project deliveries and on site with clients, combining long term ownership with hands on experience in complex environments. As part of Knowit Solutions Lakehouse, you will contribute to a growing national capability and work with some of Sweden’s most technology driven organizations. Your closest manager will be COO Emil Raue, an experienced leader in data and consulting, known for his clear and technically grounded leadership and strong employee feedback. We offer a flexible work environment, a strong knowledge sharing culture, and great opportunities to grow within Databricks, Lakehouse, and modern Data engineering. Ready to take the next step? Join Knowit in Malmö and be part of building the next generation of data driven solutions with Databricks and Lakehouse. We look forward to your application!

WHY SANA Sana is an AI lab bringing superintelligence to work. Our AI products are trusted by pioneering companies like Spotify, B Labs, Strava, Hinge Health, and Merck, and have served more than 1 million people worldwide. We believe advancing knowledge is the world’s most important problem to solve. From writing and the printing press to the internet and Google, the tools that accelerate access to knowledge define human progress. Yet workplace software hasn’t kept up. We’re building towards a world where knowledge is not only more accessible, but actively helps you accomplish more than you ever thought possible. If that future excites you, you’re in the right place. Come and do your life’s work with us. ABOUT THE ROLE We’re hiring a Growth marketing manager to join our Marketing team. This is a mid-level role for a hands-on marketer who can own paid acquisition, web experimentation, and conversion rate optimization across our key markets. You’ll sit at the intersection of performance marketing, growth, and web optimization: designing and running multi-channel campaigns, continuously improving our marketing website, and turning high-intent traffic into pipeline and revenue. You’ll partner closely with our broader Marketing, Design, and Commercial teams to drive measurable growth for both of Sana’s AI products. This role is ideal if you love going deep on data, running experiments end-to-end, and shipping iterative improvements that compound over time. WHAT YOU’LL DO Own performance and growth campaigns You will: * Plan, launch, and optimize full-funnel performance campaigns across Google Ads, Microsoft Ads, LinkedIn Ads, Meta (Facebook/Instagram), and other relevant channels (e.g. YouTube, Reddit) to drive high-quality lead and opportunity generation. * Monitor and optimize campaigns daily, refining audiences, creatives, bids, and budgets to maximize ROAS while hitting CAC and CPA targets. * Run systematic A/B and multivariate tests on ads, landing pages, and funnels to improve CTR, conversion rate, and downstream pipeline metrics. * Partner with content and design to brief and iterate on high-performing creatives, messaging, and offers tailored to our core buyer personas. Lead website and conversion rate optimization You will: * Own experimentation on Sana’s marketing website and key landing pages, designing and running tests across layout, copy, UX, and forms to improve visit-to-lead and lead-to-opportunity conversion. * Use quantitative data (GA4, behavioral analytics) and qualitative insights (session recordings, surveys, user feedback) to identify friction points and prioritize CRO opportunities. * Collaborate with design, product marketing, and web development to implement winning variations and ensure a consistent, premium brand experience. * Maintain clear documentation of tests, hypotheses, results, and learnings to build a scalable experimentation program over time. Build a robust growth analytics foundation You will: * Build and maintain dashboards to monitor key performance metrics such as CTR, CVR, CPA, ROAS, and pipeline/revenue impact across channels and experiments. * Own marketing tracking and attribution quality across web and paid media, partnering with RevOps to ensure accurate lead source, campaign, and opportunity data. * Analyze performance across the entire funnel—from first touch to closed-won—to identify where optimizations will have the largest impact, and communicate clear, data-backed recommendations to stakeholders. Collaborate across Growth and Commercial You will: * Work closely with Digital Marketing, Product Marketing, Design, and Sales to align campaigns and experiments with business priorities, launches, and target segments. * Partner with Sales on feedback loops around lead quality and pipeline, iterating targeting and messaging accordingly. * Support broader growth initiatives when needed, including content-driven campaigns, events, and partnerships, always with a focus on measurable impact. WHAT WILL HELP YOU THRIVE EXPERIENCE * 2–4 years in a highly data-driven digital marketing, growth, or CRO role, ideally in B2B SaaS or tech. * Hands-on experience managing multi-channel paid campaigns (e.g. Google Ads, LinkedIn Ads, Meta) with clear revenue or pipeline accountability. * Proven track record designing, executing, and analyzing A/B and multivariate tests on websites or landing pages that moved key metrics (conversion rate, CPA, or similar). SKILLS * Strong proficiency with web and campaign analytics tools such as GA4 and major ad platforms; familiarity with heatmapping/session replay and A/B testing tools (e.g. Hotjar, VWO, Optimizely, similar). * Comfortable building and maintaining dashboards in tools like Looker Studio, Sheets, or BI platforms to track performance and inform decisions. * Ability to translate complex data into clear, actionable insights and compelling stories for both marketing peers and commercial stakeholders. * Solid understanding of CRO principles, experimentation frameworks, and user-centered web design best practices. * Excellent written and verbal communication skills; you can craft succinct, conversion-focused messaging and present your recommendations with clarity and confidence. MINDSET * Analytical and hypothesis-driven: you enjoy dissecting complex problems, forming clear hypotheses, and validating them through experiments and data. * Outcome-oriented: you care deeply about impact on pipeline and revenue, not just activity metrics. * Builder mentality: comfortable with ambiguity, eager to help shape our digital growth and experimentation practices from the ground up. * High ownership and autonomy: you can independently prioritize, execute, and iterate, while knowing when to pull in collaborators. * Motivated by excellence: you set a high bar for your own work and are more interested in learning and improving than being right. NICE-TO-HAVE * Experience with Salesforce or similar CRM, and with marketing automation platforms (e.g. HubSpot, Marketo, similar). * Background working on complex B2B buying journeys or multi-stakeholder deal cycles. * Familiarity with SEO fundamentals and how they interact with UX and conversion. * Experience in AI, data, or developer tooling markets is a plus. WHAT WE OFFER * Help shape AI's future alongside brilliant minds from Google, Apple, Spotify, Notion, Slack, Databricks, and BCG. * Competitive salary complemented with a competitive RSU program. * Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders. * Work with talented teammates across 5+ countries, and global customers, from our beautiful office in Stockholm.

Vill du arbeta med moderna dataplattformar i molnet och ta ansvar för hur data byggs, struktureras och flödar genom en organisation? Nu söker vi en Data Engineer med stark kompetens inom SQL och Python och erfarenhet av att utveckla robusta lösningar i molnmiljö. Knowit Solutions Lakehouse Knowit gör en nationell satsning på Databricks med verksamhet i Malmö, Göteborg och Stockholm. Vi samlar spetskompetens inom moderna lakehouse arkitekturer och bygger lösningar som är strategiskt viktiga för våra kunder. Som konsult hos oss behöver du vara intresserad av att arbeta med Databricks och utvecklas vidare inom plattformen. Knowit är partner till Databricks och vi har ett nära samarbete kring kompetensutveckling, initiativ och kunddialoger. Hos oss arbetar du både i projektleveranser och ute hos kund. Det innebär att du får kombinera långsiktigt tekniskt ansvar i våra egna åtaganden med arbete i komplexa miljöer hos några av Sveriges mest teknikdrivna organisationer. Din närmaste chef är COO Emil Raue. Emil är en erfaren ledare med lång bakgrund inom data och konsultbranschen. Han får genomgående höga resultat i medarbetarundersökningar och är känd för sitt tydliga och tekniskt förankrade ledarskap. Om rollen Som Data Engineer arbetar du med att designa, bygga och vidareutveckla moderna dataplattformar i molnet. Du utvecklar och produktionssätter datapipelines och bidrar till arkitektur och tekniska vägval i uppdrag där Databricks ofta är en central del av lösningen. Uppdragen varierar mellan olika branscher och organisationer, men gemensamt är att du arbetar nära utvecklare, arkitekter och tekniska beslutsfattare för att bygga skalbara och robusta datalösningar. Vem är du Du är tekniskt trygg och tar ansvar för kvaliteten i det du levererar. Du trivs i samarbeten med andra utvecklare och arkitekter och har förmåga att omsätta krav till strukturerade och hållbara implementationer. Du drivs av att fortsätta utvecklas inom moderna dataplattformar. Vi söker dig som har * Minst fyra års erfarenhet i rollen som Data Engineer * Erfarenhet av att arbeta i molnmiljöer som AWS, Azure eller GCP * Erfarenhet av att bygga och produktionssätta datapipelines med ETL och ELT * Stark kompetens inom SQL samt Python och PySpark * Gärna med erfarenhet av orkestrering, exempelvis Airflow eller liknande verktyg Vad vi erbjuder Hos Knowit Solutions Lakehouse får du arbeta i tekniskt utmanande uppdrag där du kan påverka arkitektur och tekniska vägval. Du blir en del av ett nationellt specialistbolag med tydlig teknisk riktning och höga ambitioner inom lakehouse och Databricks. Vi erbjuder en trygg anställning med konkurrenskraftiga villkor och ett starkt fokus på kompetensutveckling. Du får möjlighet att certifiera dig inom Databricks och fördjupa din kompetens samtidigt som du är med och formar både din egen utveckling och vår satsning inom området. Det finns också stora möjligheter att engagera sig i presales, hålla föreläsningar och driva seminarier. Vi arbetar aktivt med kunskapsdelning genom interna forum, initiativ och gemensamma kick offer tillsammans med ett mycket kompetent nätverk av kollegor runt om i Sverige. Vi värdesätter även det sociala sammanhanget och arrangerar regelbundet after works och andra aktiviteter. Vill du vara med och bygga framtidens dataplattformar tillsammans med oss på Knowit är du varmt välkommen att ansöka.

ABOUT SANA Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. ABOUT THE ROLE You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work. This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale. You'll work at the intersection of agent architecture, context-, tool- and prompt engineering, and production infrastructure. IN THIS ROLE, YOU WILL * Architect multi-step planning, orchestration, and tool routing for agents * Implement code generation agents and sandboxed code execution * Engineer memory, state, and context packing/grounding strategies * Balance latency, quality, and cost controls for agent execution * Develop safe fallbacks, graceful degradation and robust error handling * Collaborate with platform and search teams to deliver reusable agent infrastructure * Establish safety guarantees and measurable quality improvements WHAT SUCCESS LOOKS LIKE * Agent architectures are robust, reliable, and enterprise-ready * Context and tool engineering enables agents to act intelligently, at scale * Clear metrics, automated evaluation, and continuous improvement in agent capabilities * Quality and safety are measurable and continuously improving * Durable building blocks accelerate product teams and unlock new capabilities OUR TECH STACK We build on a simple modern stack optimized for both humans and AI. * Backend: TypeScript, Kotlin, Node.js * Frontend: TypeScript, React, Tailwind * Databases: Postgres, Redis * Cloud infra: GCP/Kubernetes/Terraform WHAT WE OFFER * Help shape AI's future alongside brilliant minds from Google, Apple, Spotify, Notion, Slack, Databricks, and BCG. * Competitive salary complemented with a competitive RSU program. * Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders. * Work with talented teammates across 5+ countries, and global customers, from our beautiful office in Stockholm.

ABOUT SANA Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. ABOUT THE ROLE You’ll own the core web stack at Sana - from our TypeScript/React frontend to the Node services, tooling, and monorepo infrastructure that power it. This is a role for engineers who love unblocking others: you’ll design and maintain the build systems, frameworks, and developer workflows that let teams ship fast, safely, and with confidence. You’ll work on everything from core web architecture and performance to CI, testing, and local development, ensuring our web platform is modern, secure, and a joy to build on. IN THIS ROLE, YOU WILL * Own and evolve Sana’s TypeScript/React/Node foundations, including frameworks, services, and conventions * Maintain and improve our monorepo tooling: build tools, dependency management, scripts, and shared services * Design and refine local development, testing, and build workflows so they’re fast, reliable, and easy to use * Optimize web performance, reliability, and security across our frontend and Node services * Shape and implement our testing strategy (unit, integration, end-to-end, visual) and related tooling * Maintain and improve CI/CD pipelines, including caching, checks, and deployment workflows * Define and champion best practices for web development, debugging, and observability across teams * Collaborate closely with product engineers to identify friction points and remove them through better tooling and architecture WHAT SUCCESS LOOKS LIKE * Developers move quickly and confidently: local dev, testing, and builds feel fast, predictable, and low-friction * Our monorepo, build system, and dependencies are well-structured, well-documented, and easy to maintain * Core web flows are performant, secure, and observable—from frontend interactions to Node services * CI/CD pipelines and test infrastructure are stable, discoverable, and trusted by engineers * Framework and dependency upgrades are routine, low-risk, and keep us at the forefront of the TypeScript/React ecosystem * You’re seen as a go-to engineer for web architecture, performance, and developer experience - raising the bar for how we build, ship, and maintain software at Sana. OUR TECH STACK We build on a simple modern stack optimized for both humans and AI. * Backend: TypeScript, Kotlin, Node.js * Frontend: TypeScript, React, Tailwind * Databases: Postgres, Redis * Cloud infra: GCP/Kubernetes/Terraform WHAT WE OFFER * Help shape AI's future alongside brilliant minds from Google, Apple, Spotify, Notion, Slack, Databricks, and BCG. * Competitive salary complemented with a competitive RSU program. * Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders. * Work with talented teammates across 5+ countries, and global customers, from our beautiful office in Stockholm.

ABOUT SANA Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. ABOUT THE ROLE You will play a pivotal role in bridging the gap between our product development and client-facing teams in either of our two core products: Sana Agents and Sana Learn. You will partner with some of the world’s most forward-thinking organizations to design, validate, and implement solutions that transform how their people work and learn. On the Sana Agents side, you’ll help customers operationalize agentic AI for work by connecting systems, designing workflows, and demonstrating how intelligent agents can search, reason, and act across a company’s knowledge and tools. On the Sana Learn side, you’ll work with L&D, HR, and business leaders to design modern learning ecosystems: from AI-powered authoring to enterprise-grade learning programs, analytics, and integrations. As Sana Agents’ and Sana Learn’s footprint expands through an increasing client base and user adoption, your role will likely evolve to include coaching and onboarding additional solution engineers, scaling the solutions you’ve designed and implemented, and creating and iterating on the playbooks required to make Sana solutions succeed at scale. WHAT YOU’LL DO * Become a product expert and provide dedicated technical support during pre-sales and implementation phases, ensuring that client queries are addressed promptly, accurately, and completely. * Engage directly with technical stakeholders, especially large enterprises, to build trust and credibility by demonstrating deep technical knowledge around Sana products, the ecosystem with which we integrate, generative AI, and enterprise security * Collaborate closely with product managers and engineers to stay updated on the latest product developments and ensure seamless communication between teams. * Address complex technical issues that arise during sales and deployment, ensuring that solutions are implemented efficiently and effectively. * Identify and implement process improvements to enhance the efficiency of the sales and deployment processes. WHAT WILL HELP YOU THRIVE * A strong technical background with experience in software engineering, systems engineering, solutions engineering, or a related field. * Proven experience in a client-facing technical role, preferably within the tech industry. * Excellent problem-solving skills with the ability to address complex technical issues quickly and effectively. * Strong verbal and written communication skills and can explain technical concepts to both technical and non-technical stakeholders. * Working collaboratively with cross-functional teams, including product managers, engineers, and sales teams. * A self-starter mindset, meaning you can proactively identify issues and opportunities and tackle them without being told to do so. * Ability to turn ambiguity into scalable processes, documentation, and systems OUR TECH STACK We build on a simple modern stack optimized for both humans and AI. * Backend: TypeScript, Kotlin, Node.js * Frontend: TypeScript, React, Tailwind * Databases: Postgres, Redis * Cloud infra: GCP/Kubernetes/Terraform WHAT WE OFFER * Help shape AI's future alongside brilliant minds from Google, Apple, Spotify, Notion, Slack, Databricks, and BCG. * Competitive salary complemented with a competitive RSU program. * Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders. * Work with talented teammates across 5+ countries, and global customers, from our beautiful office in Stockholm.

ABOUT SANA Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. ABOUT THE ROLE You’ll own the reliability, security, and scalability of Sana’s platform while leveling up developer velocity. This is the place for engineers who thrive on moving between cloud infrastructure, deployment, and tooling to unblock everyone else. You’ll work on everything from multi-tenant scale-out to developer experience, ensuring our platform is robust, secure, and a joy to build on. IN THIS ROLE, YOU WILL * Drive reliability, security, and scalability across the platform * Architect and implement multi-tenant scale-out (10–100x) and observability solutions * Lead incident response, performance profiling, and cost control initiatives * Build and maintain CI/CD pipelines, test infrastructure, and environment provisioning * Work with engineers across the stack to remove friction and accelerate delivery WHAT SUCCESS LOOKS LIKE * The platform scales seamlessly as usage grows 10-100x, with robust observability and incident response * Security and compliance are built-in, not bolted on * Developer velocity is tangibly higher—teams ship faster, with fewer blockers * CI/CD, test infra, and development environments are reliable, discoverable, and loved by engineers * Cost controls and performance budgets are visible and actionable * You are a go-to partner for infra, deployment, and tooling challenges: unblocking others and raising the bar for engineering excellence. OUR TECH STACK We build on a simple modern stack optimized for both humans and AI. * Backend: TypeScript, Kotlin, Node.js * Frontend: TypeScript, React, Tailwind * Databases: Postgres, Redis * Cloud infra: GCP/Kubernetes/Terraform WHAT WE OFFER * Help shape AI's future alongside brilliant minds from Google, Apple, Spotify, Notion, Slack, Databricks, and BCG. * Competitive salary complemented with a competitive RSU program. * Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders. * Work with talented teammates across 5+ countries, and global customers, from our beautiful office in Stockholm.