Spark

SENIOR DATA ENGINEER  WHO WE ARE Artefact is a new generation of data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have over 2000 employees across 26 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. Job Summary We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment.  Key Responsibilities * Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. * Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms. * Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing. * Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations. * Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables. * Develop and enforce best practices in data governance, security, and compliance within the organisation. * Optimise data retrieval and develop dashboards and reports for business teams. * Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.   Qualifications * Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. * 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. * Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks. * Demonstrated experience with Infrastructure as Code tooling such as Terraform * Solid understanding of CI/CD principles and DevOps/DevSecOps practices. * Proven leadership skills and experience managing data engineering teams. * Excellent problem-solving skills and the ability to work with ambiguity. * Proficient in leveraging AI-assisted workflows to optimise task efficiency. * Strong communication and interpersonal skills. * Excellent understanding of data architecture involving data mesh, data lake, data warehouse and data lakehouse. Preferred Qualifications: * Certifications in Azure, AWS, or GCP. * Certifications in Databricks, Snowflake or similar technologies. * Experience in the leading large scale data engineering projects. Working Conditions * Hybrid work arrangement: two-three days per week working from the office

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team's systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales and Operations, Finance, etc. Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg. WHAT YOU'LL DO As a Software Engineer on this team, you'll design and build infrastructure that powers batch data processing at Stripe. RESPONSIBILITIES * Design, build, and maintain next-generation and first-generation versions of key Data Platform products, with an emphasis on usability, reliability, security, and efficiency. * Design ergonomic APIs and abstractions that build a great customer experience for internal Stripes, that will in turn enhance the experience of millions of Stripe users. * Ensure operational excellence and enable a highly available and reliable Data Orchestration platform across batch workloads. * Collaborate with high-visibility teams and their stakeholders to support their key initiatives—while building a robust platform that benefits all of Stripe in the long term. * Plan for the growth of Stripe infrastructure by unblocking, supporting, and communicating with internal partners to achieve results. * Connect your work with improvements in the usability and reliability of open source software (OSS) like Apache Airflow, Iceberg, and Spark, and contribute back to the OSS community. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 8+ years of professional experience writing high-quality, production-level code or software programs and an interest in data infrastructure. * Has experience operating or enabling large-scale, high-availability data pipelines from design to execution and safe change management. Expertise in Spark, Flink, Airflow, Python, Java, SQL, and API design is a plus. * Has experience developing, maintaining, and debugging distributed systems built with open source tools. * Has experience building infrastructure-as-a-product with a strong focus on user needs. * Has strong collaboration and communication skills, and can interact with both technical and non-technical participants. * Has the curiosity to learn about new technologies and business processes. * Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration. PREFERRED QUALIFICATIONS * Has experience writing production-level code in Scala, Spark, Flink, Airflow, Python, Java, and SQL. * Has experience designing APIs or building developer platforms. * Has experience optimizing the end-to-end performance of distributed systems. * Has experience scaling distributed systems in a fast-moving environment. * Has experience working with Airflow infrastructure. * Genuine enjoyment of innovation and an interest in understanding how things work. Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. Office location—Bengaluru, KA, India

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.

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations.  We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a ‘One to Watch’ on the Sunday Times Tech Track.  The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories.  We encourage people of all different backgrounds and identities to apply.  We are committed to maintaining an inclusive, and supportive place for you to do your very best work. We are seeking an experienced and hands-on Lead Data Engineer to design, build and evolve secure, scalable data platforms for clients across the UK Public Sector and Utilities sectors. You will work closely with architects, engineers and client stakeholders to deliver modern cloud-based data solutions that support operational, analytical and AI-driven use cases. The role combines technical leadership with hands-on engineering, helping clients modernise their data estates while ensuring solutions are secure, reliable and scalable. Working across multiple projects, you will lead the development of batch and real-time data pipelines, support architectural decision-making, and help establish engineering best practices across delivery teams. Strong experience with real-time streaming technologies is essential. Key Responsibilities * Lead the design, development and deployment of secure, scalable data pipelines and data platform components. * Design and implement batch and real-time streaming solutions using modern event-driven architectures. * Own technical design decisions across projects, balancing scalability, security, performance and delivery requirements. * Lead technical workshops, discovery sessions and architecture discussions with client stakeholders. * Assess existing client data platforms and design practical approaches for modernisation, migration and integration. * Build and maintain data ingestion, transformation and integration capabilities across a variety of data sources. * Develop cloud-native data platforms using AWS services and open-source technologies. * Ensure data quality, governance, lineage and security requirements are embedded throughout the data lifecycle. * Drive engineering best practices including code reviews, automated testing, CI/CD and Infrastructure as Code. * Support multiple client engagements, helping delivery teams maintain consistent engineering quality and standards. * Mentor and support engineers across project teams, providing technical guidance and leadership. * Perform data modelling, performance tuning and root cause analysis to resolve complex data and platform issues. Essential Skills & Experience Real-Time Streaming & Data Engineering * Strong commercial experience designing and implementing real-time streaming data platforms. * Hands-on experience with technologies such as Apache Kafka, AWS Kinesis, Apache Flink, Spark Streaming, Apache Pulsar, or similar event-driven technologies. * Experience building high-volume, low-latency, resilient data pipelines in production environments. * Strong understanding of modern data engineering patterns, including batch, streaming and hybrid architectures. Data Engineering & Databases * Extensive experience developing and operating enterprise-scale data platforms. * Strong SQL skills and experience designing data models for analytical and operational workloads. * Proficiency in Python or other modern programming languages used for data engineering. * Experience configuring, tuning and optimising relational and NoSQL databases. Cloud & Software Engineering * Strong experience working with AWS cloud services, including EC2, RDS, Lambda, Athena, Glue, S3 and IAM. * Experience working within Agile delivery environments. * Strong understanding of Test-Driven Development (TDD) and automated testing practices. * Experience implementing CI/CD pipelines and engineering automation. * Strong understanding of Infrastructure as Code principles. * Experience using version control systems such as Git. Regulated Environments * Experience delivering technology solutions within UK Public Sector, Utilities, Energy, Water, Financial Services or other highly regulated industries. * Understanding of security, governance and compliance considerations within regulated environments. Desirable Skills * Experience with Terraform. * Experience with Docker and Kubernetes. * Knowledge of Ansible and Packer. * Linux and Windows administration experience. * Experience supporting AI, machine learning or advanced analytics platforms. * Experience working on programmes requiring UK Government security clearance. What We're Looking For * Strong technical leadership and problem-solving skills. * Ability to communicate effectively with both technical and non-technical stakeholders. * Experience working in complex, regulated environments. * A collaborative approach and willingness to support and mentor others. * A focus on delivering practical solutions that create value for clients. * A passion for building reliable, scalable and secure data platforms. Education Bachelor’s degree in computer science, Software Engineering, Data Engineering, Mathematics or a related technical discipline, or equivalent practical experience. Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Equal Opportunities Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.

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!

På Knowit Core Malmö 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 Core Malmö Hos Knowit Core Malmö 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 i Malmö, 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 till Knowit Core Malmö. SEO sökord Data Engineer Malmö, Microsoft Fabric, Fabric konsult, Azure Data Engineer, SQL, Python, Snowflake, dbt, ETL developer, ELT pipelines, Data Warehouse, Lakehouse, Azure Fabric, Microsoft Fabric konsult, backend data engineer, data pipelines, Azure Data Factory, modern data platform, cloud data engineer, Knowit Core Malmö, AI och data, Azure konsult Malmö, Data Engineering Malmö

Build modern data platforms with Databricks at the center Do you want to work hands-on with Databricks and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help build scalable, modern data solutions with Databricks and Python as a central part of the solution. About the role as a Databricks Specialist at Knowit In this role at Knowit Lakehouse in Stockholm, you will help our clients design, build, and orchestrate modern cloud-based data platforms. Databricks will be a key part of these solutions, and you will have the opportunity to explore new features, approaches, and best practices within the platform. You will join a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and ongoing technical development are part of everyday work. As a Databricks partner, we work closely with the platform and stay up to date with new capabilities. Your main responsibilities will include: * Designing and developing scalable data platforms based on Databricks and Lakehouse architecture * Building, optimizing, and orchestrating data pipelines using Python and PySpark * Working with data governance and management through Unity Catalog * Integrating data with BI, AI, and ML solutions to create real business value * Supporting clients in establishing secure, robust, and future-proof data engineering solutions Our tech stack / tools and ways of working * Data platform: Databricks * Programming: Python, PySpark * Cloud platforms: Azure, AWS, and Google Cloud * Data architecture: Lakehouse, modern data platforms * AI & Analytics: integrations with BI, AI, and machine learning We believe in flexibility and continuous learning. You are not expected to know everything from day one your willingness to grow is just as important as your current technical skills. Who are we looking for? We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem. As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus. Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value.

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.

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations.  We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a ‘One to Watch’ on the Sunday Times Tech Track.  The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories.  We encourage people of all different backgrounds and identities to apply.  We are committed to maintaining an inclusive, and supportive place for you to do your very best work. DUTIES & RESPONSIBILITIES A UK Government Security Check (SC) clearance is required for this role. If you don’t hold SC clearance, we will support you to apply assuming you have lived and worked in the UK for a minimum of 5 years. As a Software Engineer, you will help lead the development of backend services for a government client leveraging the latest commercial and open-source technologies. This involves designing, developing, documenting and deploying backend services with a focus on high availability, low latency and scalability.  * Design, develop, document and deploy new or enhanced features to our backend services that meet functional / non-functional business requirements  * Actively participate in the team’s elaboration and estimation of user stories  * Build frequent, small releases to maintain the team’s momentum  * Collaborate closely with other engineers in our cross-functional feature teams; ensuring that others can cover for you, and that you can cover for them  * Build, optimise and operate our Continuous Deployment pipelines  * Maintain operational responsibility for the services that your team owns  CORE COMPETENCIES The successful candidate will have a Bachelor's degree or greater in Computer Science or a related field. An equivalent of at least 5 years of working experience in a developer capacity is also acceptable for this position.  You will have demonstrated the following competencies to the proficiency level appropriate to the seniority of the role; * JAVA programming experience as the core language, including Spring Boot. * Fluent in writing JAVA coding. * Experience with Kafka or a similar platform. * Experience with Scala and Spark. * Integrating with backing services, such as PostgreSQL, Redis or S3 * Good engineering practices including continuous delivery, clean code, documentation, defensive programming, automated testing and code reviews * Working in Agile development and/or DevOps teams * Using GitHub/GitLab for source control * Test Driven Development with appropriate tools and frameworks * Experience in Big Data technologies * Experience in Public Cloud services, such as AWS Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Equal Opportunities Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.

We’re the Moonpig Group – home to Moonpig, Greetz, Red Letter Days and Buyagift – and we’re on a mission to make people feel loved, celebrated and remembered. Whether it’s a card that gets them laughing out loud or a gift that makes their day, we help people stay close, no matter the miles.   We’re proud to be leading the online gifting revolution, with brilliant products, clever tech and a whole lot of heart. Our platform makes it easy to create moments that matter – packed with personal touches and delivered with care.   We’re not just about selling cards or gifts – we’re here to spread joy, spark smiles and make every celebration feel extra special. And with values that guide how we work and support one another, we’ve built a place where people (and ideas) can truly thrive.   If you’re looking to make an impact, bring your spark and be part of something meaningful – we’d love to have you on the team. 🌙🐷   Shift Manager | 📍 Tamworth – On-site | 💰 Competitive Salary + Benefits   About the Role   At Moonpig, everything we do is about helping people connect — and behind the scenes, our Operations teams make that happen. We’re looking for an experienced Shift Manager to join our Tamworth site, leading production and print operations during your shift and supporting teams to deliver great results, safely and efficiently. Reporting into the Senior Operations Manager, you’ll lead a group of Team Leaders (including the Print Room Team Leader), balancing day-to-day operational delivery with people leadership and continuous improvement. If you enjoy being visible on the floor, solving problems in real time, and helping others grow, this role offers real impact and responsibility.