Sökresultat för "Data warehousing"

Role Overview We are seeking a visionary and technically proficient IT Strategy and Data Engineer to bridge the gap between our business objectives and our technical data capabilities. You will design, build, and optimize robust data pipelines and architectures, while concurrently architecting long-term IT and data strategies that drive company growth. Key Responsibilities Data Engineering & Architecture Pipeline Development: Design, construct, and maintain scalable data pipelines and API integrations for complex, high-volume datasets. ETL/ELT Workflows: Build and manage data warehousing solutions using automated Extract, Transform, Load (ETL) frameworks. Data Governance & Quality: Implement data quality assurance frameworks and enforce data security and privacy compliance standards. Database Management: Optimize database performance (e.g., query optimization, indexing, partitioning) to ensure efficient data availability. [1, 2, 3, 4, 5, 6, 7] IT & Data Strategy Strategic Planning: Collaborate with executive leadership and cross-functional teams to shape the long-term data platform and enterprise architecture roadmap. [1] Vendor & Tool Evaluation: Research, evaluate, and recommend open-source technologies, third-party vendor tools, and cloud platforms (e.g., AWS, GCP, Azure). [1, 2] Business Alignment: Translate high-level business requirements into technical solutions and establish metrics to measure the strategic impact of new data solutions. [1, 2] Cross-Functional Leadership: Partner with Data Analysts and Data Scientists to design data models that empower business intelligence (BI)

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are now on the lookout for a platform-focused Senior Data Engineer to join the team in Stockholm. ABOUT THE TEAM The Data Engineering team is responsible for empowering Storytel with data. We drive the full data lifecycle, from ingestion to delivery, and help ensure that the rest of the business have the data, tools and engineering collaboration needed to help make informed data-driven decisions. As a team, we provide cross-functional competencies in data engineering as well as analytics engineering to the rest of Storytel. Some of the tech stack and tools we work with are dbt (SQL), Looker, BigQuery, Python, Airflow, Terraform, CI/CD, Github, Airbyte as well as other products included within the Google Cloud Platform. Moreover, we like to keep our skills up to date by frequently engaging lab days. ABOUT THE ROLE As a Data Engineer, your main responsibility will be to enable the team and the rest of the organization with a data platform and the tools that power data at Storytel. You will have the opportunity to work in a dynamic environment with plenty of opportunities to experiment with new technologies and solutions. Our team is highly collaborative and works in a cross-functional organizational landscape with the following: Example of responsibilities * Build core infrastructure: Contribute to building a large-scale, highly performant self-service data platform using cutting-edge technologies * Innovate and improve: Drive internal tooling and process development to continuously increase data quality and constantly improve the engineering experience. * Excellence in data management: Continuously improve on building capabilities for effective data utilization across Storytel. * Collaboration: Collaborate with other engineers, data analysts, data scientists, and decision-makers to understand needs and build self-service. ABOUT YOU To be a fit for our team, we believe that you: * Have a few years of hands-on experience in delivering data products and know the value of accurate consistent data infrastructure. * Have experience in delivering infrastructure using Docker, Kubernetes, Terraform, Github (Github actions), and maintaining data orchestration tools such as Airflow, dbt, Airbyte. * Have experience with cloud infrastructure (Azure, AWS, or GCP) and data warehousing (preferably BigQuery). * Have a good understanding of data access, storage, and optimization. * Are able to break down and explain complicated technical solutions independent of stakeholders. * Thrive in an environment focusing on innovation and collaboration and continuously work on personal development. Bonus qualifications: * Experience with streaming data ingestion. * Expertise in developing CI/CD pipelines tailored for data infrastructure. JOIN A WORLD OF STORIES At Storytel, we’re a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you’re all set.

(FEQ427R299) ABOUT THE ROLE At Databricks, we are looking for a Senior Solutions Architect to join our Nordics Hunter team. You will be the technical lead for our most strategic new engagements in the region, with the mission to establish Databricks as the main data & AI platform on Greenfield accounts. You aren't just a technical resource; you are a strategic advisor who raises the bar for how our customers build and reason through data solutions. You will thrive in rapid growth environments and high-paced customer engagements, creating structure in ambiguous situations and driving commitment from senior stakeholders even when priorities shift. Whether you come from a pre-sales background or have deep technical expertise in complex systems, your ability to manage high-level stakeholders and deliver measurable business outcomes is what will make you successful. The Impact You Will Have * Technical Strategy & Leadership: Lead the technical strategy for Greenfield accounts within the Nordics - assessing a customer’s architecture and provide strategic guidance and deep technical expertise addressing problems that span multiple systems, teams, and stakeholders, from data & AI practitioners, business domains and all the way up to C-level. * Executive Advisory: Act as a trusted advisor to VP+ and BU-level leaders, driving alignment during high-tension negotiations and ensuring long-term technical commitment. * Raise the Bar: Abstract learnings from your builds into reusable patterns and guidance for the wider Databricks community, anticipating objections before they surface. * Drive Adoption: Move beyond "proof of concept" to deliver outcomes the business can measure, using adoption signals to ensure sustained customer impact. * Mentorship: Coach junior and professional SAs on technical discovery and complex use-case prioritization, helping the team maintain high standards at sustained velocity. What We Look For *Note - you do not need to fulfil every single requirement to be a strong candidate. If you are excited about this role and have related experience, we encourage you to apply.* * 8+ years of experience in technical and client-facing roles.  * Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong "AI-Builder" mindset. * Proven ability to influence senior executives and drive alignment across competing constraints and evolving goals. * Recognized as an experienced architect who can confidently lead technical discussions and solve high-complexity, multi-account architectural challenges. * Ability to execute through ambiguity: A track record of identifying emerging risks early and mobilizing others to act, even when full information is not available. * Pre-sales experience is a plus, but we value deep technical expertise and stakeholder management skills above all as key must-haves. * Language & Location: Must be based in Sweden or Denmark with excellent communication skills suited for top-tier customer interactions.   #LI-hybrid About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Professional Galaxy är ett IT- och teknikkonsultbolag som tillhandahåller högspecialiserad kompetens inom IT, mjukvaruutveckling, SAP, inköp, elektronik och mekanisk konstruktion. Vi samarbetar med erfarna seniora experter och levererar strategiskt värdeskapande kompetens till några av Sveriges mest komplexa och analytiskt krävande projekt. Vårt fokus ligger alltid på hög kvalitet, professionalism och tydliga, mätbara resultat. Vi söker nu en Erfaren Software Developer / Data Scientist hos vår kund. Om uppdraget I rollen ansvarar du för att utveckla skalbara backendlösningar i Python samtidigt som du bygger AI- och maskininlärningsmodeller för analys av komplex drift- och underhållsdata från avancerade flygsystem. Du arbetar genom hela datakedjan – från datainsamling och ETL-flöden till analys, visualisering och produktionssättning av lösningar. Dina huvudsakliga arbetsuppgifter omfattar bland annat: -Design, utveckling och förvaltning av skalbara backendtjänster och REST API i Python. -Utveckling och implementering av AI- och ML-modeller, inklusive LLM-baserade lösningar, prompt engineering och multi-agentramverk. -Design och utveckling av ETL-processer för batch- och realtidsdata med exempelvis Airflow. -Utveckling av modeller för prediktivt underhåll, felanalys och efterfrågeprognoser. -Framtagning av interaktiva dashboards och visualiseringar med Plotly och andra moderna verktyg. -Arbete med containerbaserade miljöer i Docker och Kubernetes samt CI/CD-processer och versionshantering i Git. Krav Vi söker en erfaren konsult (nivå 3–4) som har: -Akademisk examen inom datavetenskap, data engineering eller annat relevant tekniskt område. -Dokumenterad erfarenhet av Python samt bibliotek som Pandas, NumPy, PyTorch och TensorFlow/Keras. -Erfarenhet av data warehousing samt verktyg för data reliability och observability. -Erfarenhet av AI/ML-utveckling, anomalidetektion och implementering av LLM-baserade lösningar. -Erfarenhet av att utveckla REST API och backendlösningar med exempelvis FastAPI, Flask eller liknande ramverk. -Erfarenhet av Git, Docker, Kubernetes och arbetsflödesorkestrering, exempelvis Airflow. -God kommunikativ förmåga på både svenska och engelska i tal och skrift. Vi ser även att du är en nyfiken och lösningsorienterad person som trivs i skärningspunkten mellan mjukvaruutveckling och dataanalys. Du uppskattar samarbete, delar gärna med dig av din kunskap och bidrar till att utveckla både teamet och de tekniska lösningarna. Övrig information Placeringsort: Tannefors. Arbetsmodell: Uppdraget genomförs huvudsakligen på plats i Tannefors, med viss möjlighet till distansarbete. Uppdragsstart: Enligt överenskommelse. Uppdragsperiod: Enligt överenskommelse. Förlängning: Möjlighet till förlängning finns. Säkerhetsprövning: Säkerhetsprövning krävs innan uppdragsstart. Är du rätt person för uppdraget, eller vill du rekommendera en stark kandidat? Tveka inte att kontakta oss. Ansök gärna redan idag, urval och intervjuer sker löpande Ansök genom att bifoga ditt CV (vi vill inte ha något personligt brev) och besvara urvalsfrågorna. Frågorna utgår från kravprofilen för den här rekryteringen och dina svar ligger till grund för det urval som sker i processen. Att besvara frågorna är en förutsättning för att din ansökan ska anses komplett. Vänligen notera att krav och eventuella meriter ska vara uppfyllda vid ansökningstillfället.

Join the Data & AI journey at Schibsted Media Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products. In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. About the role We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media. You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices. You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area. What you'll do Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams Develop maintainable data models that support analytics, reporting, and AI use cases Contribute to good practices for data modeling, transformation, testing, documentation, and governance Participate in code reviews, technical discussions, and continuous improvement of our ways of working Contribute to a culture of ownership, learning, and collaboration What we're looking forMust have 4+ years of experience as a Data Engineer or similar role Strong SQL skills and a good understanding of modern data warehousing concepts Experience building data pipelines and working with orchestration tools such as Airflow or similar Hands-on experience with dbt and modern data transformation practices Experience with Python for data engineering or automation Experience with Git and modern software engineering practices Ability to take ownership of tasks and deliver maintainable solutions Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. Collaborative mindset and willingness to learn from and contribute to the team Nice to have Experience with software engineering practices such as automated testing, CI/CD, and code review workflows Experience with Snowflake or similar cloud data platforms Experience with Infrastructure as Code (Terraform or similar) Experience with AWS, GCP, or Azure Interest in data quality, observability, governance, or platform engineering Why join us? Build the platform that enables data and AI across Schibsted Media Work with modern technologies and experienced engineers across multiple teams Flexible working hours and hybrid work options with strong trust and autonomy International environment with offices in Oslo, Stockholm, and Krakow Strong learning culture with learning budget and active engineering & AI communities Access to Schibsted's premium media products, including news and podcasts About you You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed. You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.

Join the Data & AI journey at Schibsted Media Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Data Engineer who wants to help build reliable, scalable, and well-governed data products used across our media brands. In this role, you will work at the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve data pipelines, and collaborate closely with stakeholders across Finance, HR, Product, Subscription, and other Data & AI teams. You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. About the role We are looking for someone who enjoys building solid data solutions and working closely with others to turn business needs into useful, maintainable data products. You do not need to have all the answers, but you should be curious, structured, and willing to take ownership of your work. You will contribute to how we build data as a product, including creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data. As part of a newly formed team of Data / Analytics Engineers, you will work with fellow data engineers, collaborate with adjacent teams, and help improve our engineering practices over time. You'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey. What you will do Collaborate with stakeholders to understand needs, clarify requirements, and deliver pragmatic data solutions Design, build, and maintain data pipelines using technologies such as Snowflake, dbt, and Airflow Develop maintainable data models that support analytics, reporting, and AI use cases Contribute to good practices for data modeling, transformation, testing, documentation, and governance Work with other Data & AI teams to align on platform capabilities, standards, and shared ways of working Help improve reliability, performance, cost-efficiency, and scalability of our data solutions Participate in code reviews, technical discussions, and continuous improvement of our ways of working Contribute to a culture of ownership, learning, and collaboration What we are looking forMust have 3+ years experience as a Data Engineer, Analytics Engineer, or similar role Strong SQL skills and good understanding of data warehousing concepts Experience building data pipelines or data models for analytics, reporting, or product use cases Experience with modern data transformation or orchestration tools, such as dbt, Airflow, or similar Ability to take ownership of tasks and deliver maintainable solutions Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. Collaborative mindset and willingness to learn from and contribute to the team Nice to have Experience with Python or scripting for data engineering workflows Experience with Snowflake, dbt, Airflow, or similar tools Experience with CI/CD, version control, and engineering best practices Experience with cloud platforms such as AWS, GCP, or Azure Interest in data quality, observability, governance, or access control Experience working in a cross-functional or product-oriented environment Why join us? Opportunity to build trusted data products with real impact across Schibsted Media A role with ownership, learning opportunities, and support from experienced colleagues Flexible working hours and hybrid work options with strong trust and autonomy International environment with offices in Oslo, Stockholm, and Krakow Strong learning culture with learning budget and active engineering & AI communities Access to Schibsted’s media products, including premium news and podcasts About you You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value. You are comfortable asking questions, learning from others, and taking responsibility for your work. You like collaborating with stakeholders and teammates, and you want to grow as an engineer while contributing to data products that are useful, trusted, and impactful. When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content. If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.

What will you do? As a Data Engineer at Rebtel, you will do more than build pipelines; you'll help shape the future of our data platform and influence how data is used across the company. At Rebtel, data sits at the heart of how we build products, understand customers, optimize growth, and make decisions. This is a hands-on engineering role with significant ownership. You'll work across our modern data stack, build scalable data products, and help define the architecture that supports analytics, automation, and future AI initiatives. If you're excited by clean architecture, modern data engineering practices, and solving meaningful business problems at scale; if you care about data quality and believe trust in data is built through engineering discipline; if you enjoy solving complex problems and turning ambiguity into practical solutions; and if you're excited to experiment with new technologies and approaches, we'd love to talk. Areas of ownership: Design, build, and maintain scalable, reliable data pipelines that power our Snowflake data platform Integrate data from a wide range of business and product systems Enable data activation across customer-facing and operational platforms, including CRM, customer support, and marketing tools Develop robust monitoring, alerting, and observability practices to ensure platform reliability Troubleshoot, optimize, and continuously improve data workflows and platform performance Design and implement scalable ELT workflows using modern data engineering practices Build well-structured dimensional models (facts and dimensions) that enable self-service analytics and reporting Implement automated testing and quality controls throughout the data lifecycle Ensure data is accurate, accessible, and trusted across the organization Work closely with analysts, product managers, engineers, marketers, and business stakeholders to understand data needs and deliver impactful solutions Help translate complex business challenges into scalable data products and datasets Support decision-making by making data easier to discover, understand, and use Evaluate emerging technologies, frameworks, and industry best practices Run proof-of-concepts and contribute to strategic technology decisions Help define the future architecture of Rebtel's data platform Continuously improve engineering standards, tooling, and developer experience Requirements: You are an excellent communicator and collaborator. We work in English, but you will hear many languages in our Stockholm office 3+ years of experience in Data Engineering or a similar role Strong SQL skills and experience building production-grade data pipelines Experience with modern ELT methodologies and data warehousing concepts Experience integrating data from multiple systems and sources Experience with dbt, Python, AWS, or similar cloud-based data platforms Strong understanding of data modeling and analytics engineering best practices Ability to operate independently and take ownership of technical solutions Experience working in fast-growing technology or digital product companies is a plus It's a bonus if you've been exposured to customer analytics, marketing analytics, experimentation, or machine learning workflows Experience with BI tools such as Looker, Tableau, or Power BI is a plus It's a plus with a degree in Computer Science, Engineering, Mathematics, or a related field Why Rebtel? Rebtel has been connecting people across borders for nearly 20 years. Today, we’re profitable, growing, and at a pivotal moment in our journey. As we enter our next phase, we’re building an organisation designed for speed, ownership, and real impact, where every role contributes directly to shaping what comes next. This is a place with global ambition and a strong foundation, where ideas move quickly and decisions matter. You won’t get lost in layers of process or slow-moving structures. Instead, you’ll find the space to take ownership, collaborate across teams, and make meaningful contributions from day one. Based in Stockholm, we bring together a diverse, international team united by a shared purpose: to simplify the way people connect worldwide. At Rebtel, you are the most important asset and we strive to provide a comprehensive package of benefits and perks that enhance your well-being and work experience. Here are some of the things you can expect from us: Pension Plan Health Checkups, Influenza shots and Private Medical Insurance Dental Insurance Occupational insurance Wellness allowance (5,000 SEK) Discount on gym memberships Bonus program Extra parental pay 30 days annual vacation Monday breakfasts Relocation Support, if you're joining us from afar, we'll assist you in making a smooth transition. We are Rebtel. We come from all around the world to create products for anyone who has crossed a border. We believe in equal opportunity and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Tycker du att det är viktigt att jobba på ett företag som har högt ställda värderingar? Ett bolag där entreprenörskap och samhällsnytta går hand i hand. Är det viktigt för dig att ha inflytande över din egen arbetssituation? På Chas satsar vi inte bara på att ge våra konsulter de allra bästa uppdragen och högsta möjliga kompetens. Vi vill också ge tillbaka till samhället. Vi tycker att det är viktigt att ha roligt på jobbet, därför arrangerar vi årliga utlandskonferenser och minst ett socialt event per månad. Alla är välkomna att delta! På Chas står individen i fokus, och vi vill hjälpa våra konsulter att förverkliga sin fulla potential genom kontinuerlig utveckling och breddning av kompetens. Våra kunder spänner över flera spännande branscher – från fintech och retail till mediebranschen och offentlig sektor. Några exempel på kunder är Spotify, H&M, SEB och Telenor. Vi erbjuder dessutom gratis utbildning via vår egen skola där du kan fördjupa dig i nya teknologier eller ämnen som intresserar dig. Är du nyfiken på att lära dig mer om maskininlärning, AI eller dataanalys? Hos oss är det möjligt! Chas är också mycket engagerat i CSR-arbete. Vi tror på att göra mer än att bara donera pengar. Våra konsulter har deltagit i projekt runtom i världen, från att bygga mikroekonomier i Laos till att leda utbildningsprogram i socialt utsatta områden. Vill du vara en del av detta och kanske bidra med ditt eget initiativ? Vi vill gärna höra mer från dig! Tillsammans på Chas delar vi erfarenheter, värderingar och ett gemensamt engagemang för vår verksamhet och våra kunder. Att vara en Chassare innebär att du blir en del av vår familj! OM JOBBET Vi söker nu en erfaren Data Engineer med minst åtta års erfarenhet som är redo för nya, spännande utmaningar. Hos oss får du möjlighet att arbeta med stora datamängder och komplexa analyser för marknadsledande kunder inom både privat och offentlig sektor. Du är en person som alltid vill hålla dig uppdaterad med de senaste teknikerna inom data engineering och har en passion för att omvandla data till värdefulla insikter. Förutom din djupa erfarenhet av statistik, maskininlärning och dataanalys ser vi det som meriterande om du har erfarenhet av: Arbete i någon av de stora molnplattformarna (Azure, AWS, GCP) Infrastruktur som kod (IAC), till exempel Terraform Arbete med t.ex. data vaults/data warehousing ETL och AI, kanske även verktyg som PowerBI etc, integrationslösningar, öppna data, etc. Vi söker dig som trivs i en ansvarsfull roll där du är en god kommunikatör, och du har erfarenhet av att arbeta med kunder inom både offentlig sektor och storbolag. OM OSS Chas har blivit utsedd till Europas bästa arbetsgivare av European Business Awards, tack vare vårt demokratiska arbetssätt och vårt stora engagemang för både medarbetarna och samhället. Vi arbetar innovativt och med entreprenörsanda, samtidigt som vi har stabiliteten av ett etablerat bolag. Detta gör att vi kan driva omfattande CSR-arbete och starta initiativ som vår egen skola för fullstack-utvecklare. Hos oss får du möjlighet att arbeta med de allra senaste teknologierna, delta i konferenser och utvecklas både personligt och professionellt. Du får en mentor som stöttar dig i din karriär och tillgång till ett brett utbud av personalförmåner.

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  ABOUT US Our mission is simple—we’re changing the way we care for our parents so they can live safely at home as they age. But how we accomplish our mission is anything but simple. Every day, we’re solving complex problems that don’t come with a playbook. Sound exciting? If you’re someone who shares our core values—Own the Outcome, Solve with Empathy, and Act with Honor—let’s talk. Founded in 2014, Honor is one of the fastest-growing non-medical home care companies in the U.S. We combine innovative technology with the local, personal touch of our partner agencies to transform a $30B industry that touches millions of families. Our platform powers everything from caregiver operations and workforce management to business intelligence, forecasting, and machine learning. At Honor, we’re not building technology for technology’s sake. We’re building technology that helps people deliver better care. THE OPPORTUNITY We’re looking for a Staff Data Engineer to help shape the future of Honor’s data platform. This role is focused on building the foundational data platform that powers analytics, machine learning, operational decision-making, and emerging AI capabilities across Honor. As a senior technical leader, you will define architecture, drive platform strategy, and lead the implementation of scalable systems that make trusted data accessible across the organization. This is an opportunity to join at a pivotal point in our evolution. We are modernizing our data platform, investing in cloud-native AWS services, and building the governance and data access capabilities needed to support the next generation of AI-powered and agentic workflows. You'll tackle complex technical challenges, influence company-wide architecture decisions, and help define how data is consumed across the business. WHAT YOU'LL DO BUILD AND EVOLVE OUR AWS-NATIVE DATA PLATFORM * Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS. * Architect and optimize our Data Warehouse to support growing analytical, operational, and AI-driven workloads. * Define and implement Infrastructure-as-Code standards using AWS CDK. OWN DATA ORCHESTRATION AND DATA ENGINEERING FOUNDATIONS * Design and operate scalable orchestration frameworks using Airflow and FiveTran. * Partner with the Data Analytics team to establish data modeling standards and transformation practices using dbt. * Build reusable, maintainable data pipelines and workflows that enable rapid development and reliable operation. ENABLE TRUSTED DATA ACCESS THROUGH GOVERNANCE AND AI READINESS * Establish governance, metadata, lineage, and access patterns that make data discoverable, trustworthy, and easy to use. * Help define how both employees and AI-powered systems safely access and leverage company data. * Build the foundations that enable self-service analytics and future agentic workflows across the organization. DRIVE RELIABILITY, OBSERVABILITY, AND OPERATIONAL EXCELLENCE * Establish monitoring, alerting, and observability standards using Datadog and modern platform engineering practices. * Build scalable data quality frameworks that ensure confidence in business-critical data. * Continuously improve platform reliability, performance, and cloud cost efficiency. LEAD THROUGH TECHNICAL INFLUENCE AND PARTNERSHIP * Partner closely with Data Science, Analytics, Product, and Engineering teams to solve complex business problems through data. * Provide technical leadership, architectural guidance, and mentorship across the data organization. * Influence long-term platform strategy and engineering best practices across multiple teams. WHAT WE'RE LOOKING FOR * 8–10+ years of experience building and operating large-scale data platforms, pipelines, and warehouses in cloud environments, with deep expertise in AWS. * Proven track record leading complex technical initiatives and influencing architecture across teams. * Strong software engineering fundamentals and experience building production-grade systems. * Deep expertise in modern data warehousing, ELT/ETL architectures, and data platform design. * Experience operating data platforms with a focus on reliability, observability, data quality, and cost optimization. * Proven ability to leverage modern AI-assisted and agentic development tools to architect, build, and operate production-grade systems. * Experience partnering with data scientists, analysts, product managers, and software engineers to deliver business impact. * Demonstrated ability to navigate ambiguity, drive alignment, and lead through influence rather than authority. * Passion for building platforms that empower others and scale organizational impact. PREFERRED QUALIFICATIONS * Strong hands-on experience with Python, Amazon Redshift, AWS-native ETL technologies (including ZeroETL and DMS), Airflow, dbt, Datadog, Fivetran, and AWS CDK. * Experience designing data governance, metadata, lineage, or self-service data platforms. * Experience supporting AI, machine learning, or agentic workflow initiatives. * Experience leading platform modernization efforts in high-growth environments. * Experience as a Staff Engineer, Principal Engineer, Technical Lead, or Engineering Manager. WHAT'S NEXT? Sound like a fit? Apply below! #LI-AN1 Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,000—$220,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

As a Data Engineer at Kreditz, you will have a multifaceted and vital role. You will step into one of Europe’s fastest-growing FinTech scaleups and take full ownership of the company’s Data Warehouse, pipelines, and reporting enablement. We believe this role is perfect for someone who loves building scalable data infrastructure and wants to work close to both product and real business impact. Here, you will become part of a driven organization with endless opportunities for growth! About the role You will be part of the Product team and play a crucial role in Kreditz’s continued growth journey. At Kreditz, data is not just a support function – it is the core of the entire product. The company turns raw bank transactions into real-time insights that power credit and risk decisions across Europe. As a Data Engineer, your mission is to build, evolve, and maintain a scalable, reliable, and high-performing data platform. You will work closely with the business to strengthen the data foundation and enable smart, cost-efficient reporting and analytics for both internal and external stakeholders. What Kreditz Offers You A unique growth journey: The chance to be part of a once-in-a-lifetime journey from startup to global scaleup. Real impact: A role where everyone in the team plays a crucial part in the company’s success, and where you get true ownership of the data infrastructure. A strong company culture: A fun-loving, driven, and passionate work environment that celebrates progress, humility, and teamwork – we win together. Perks & Benefits: 24/7 access to a gym, sauna, and sports facilities at the office, plus a wellness allowance and a competitive base salary. Work tasks You will be responsible for the end-to-end data lifecycle, from maintaining the DWH architecture to ensuring data quality for both analytical and operational needs across the company. Maintain and enhance the Data Warehouse architecture for scalability and cost-efficiency Design and build robust ETL/ELT pipelines within the AWS ecosystem Automate internal reporting and create self-service data environments for stakeholders Manage AWS services including Glue, Redshift, Athena, and Lambda Implement monitoring and validation frameworks to ensure data integrity Collaborate with DevOps and Backend teams to align infrastructure Support AI and ML models by assisting with specialized data pipelines We are looking for BSc / MSc in a quantitative subject, i.e., Physics, Engineering, Mathematics, Computer Science or equivalent. Proven experience working as a Data Engineer or in a similar role focusing on data infrastructure. Strong practical engineering skills with a solid foundation in SQL and programming (e.g., Python). Strong hands-on experience with AWS (specifically services like Redshift/Snowflake, S3, Glue, and Lambda). Solid understanding of data warehousing concepts (e.g., Star Schema, Kimball) and modern data stack tools. Experience with orchestration tools (e.g., Airflow, Dagster) and CI/CD workflows (i.e., GitHub Actions). Ability to translate complex technical data structures into clear insights for non-technical stakeholders. Professional fluency in English, both written and spoken, as this is the company’s working language. It is meritorious if you have Experience with Infrastructure as Code (Terraform). Experience from FinTech, Open Banking, or working with highly regulated data. Familiarity with BI tools (e.g., AWS QuickSight, PowerBI...etc) To succeed in the role, your personal skills are: Orderly Stable Responsible Intellectually curious Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.

Join the Mission At Kaisa, we are transforming life’s most important purchases—like buying a car or a home—into exceptional customer journeys. We believe the future of engagement is driven by AI, but AI is only as powerful as the data it learns from. We are looking for a Senior Data Engineer to lead the charge in building the scalable, high-velocity infrastructure that turns millions of interactions into the fuel for our conversational intelligence products. The Role This is a pivotal position where data infrastructure meets cutting-edge product strategy. As a Senior Data Engineer, you will take full ownership of our data platform, leading the design of pipelines that don’t just power dashboards, but serve as the foundation for autonomous agents and real-time automation. You will be a high-impact architect, mentor, and strategist. What You’ll Do Architect Scalable Pipelines: Design and build robust ETL/ELT pipelines using Python and AWS services to handle high-velocity data. Evolve Data Infrastructure: Drive the evolution of our data architecture, ensuring it scales from today’s needs to the future demands of AI/ML. Collaborate Cross-Functionally: Work closely with Engineering, Product and Business teams to translate high-level strategy into technical roadmaps. Ensure Data Excellence: Define and drive data quality frameworks, automated testing, and validation processes to ensure our "fuel" is always high-grade. Lead Governance & Security: Implement best practices for data modeling, warehousing, and privacy regulations (GDPR) to safeguard sensitive information. Mentor and Influence: Shape team best practices and mentor other engineers, fostering a culture of technical excellence. Who You Are An Established Engineer: You have solid experience building scalable data systems and a deep understanding of data warehousing and governance. Technically Proficient: Hands-on expertise with Spark, Python and AWS (EMR, Redshift, Glue). A "Problem Solver": You enjoy turning messy, raw data into clean, actionable systems and have experience with streaming technologies (Kafka, Kinesis). A Natural Leader: You are confident in technical conversations, able to share context across tech and non-tech audiences, and driven to own your projects. Bonus points if you have: Experience with Infrastructure as Code (Terraform, Kubernetes). A background in data-driven product experimentation or analytics. Experience contributing directly to organizational data strategy. Where You’ll Be Our roots are in Sweden, but our reach is international. This role is based in our Uppsala office, working in a hybrid capacity. We embrace flexible "business hours" because we know that life doesn't always fit into a 9-to-5 box. Kaisa Culture What makes Kaisa a unique place to build a career? Our values aren't just posters on the wall; they guide our daily decisions: Innovate with Agility – We move fast, think creatively, and adapt seamlessly. Win Together – Success is a team effort, and we celebrate it as one. Own It – Accountability drives progress, and we take pride in our work. Champion Sustainability and Diversity – We foster inclusivity and make responsible choices. Spread the Vibe – A positive atmosphere fuels great ideas and connections. About Kaisa Since our inception in Uppsala, Sweden, we have grown to include offices in London and Paris. At Kaisa, we understand that our greatest asset is our talented and diverse team. We believe in creating an environment that fosters personal growth, professional development, and overall well-being. Founded in 2009.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a Software engineer/.Net (15730) for one of our clients. Your responsibilities will include: - Design, develop, and implement software solutions that align with project goals and meet quality standards. - Write clean, efficient, and maintainable code using best practices and appropriate software design patterns. Hands-on coding is a must for this role. - Collaborate with product managers, designers, and other stakeholders to gather and analyze requirements for software projects. - Perform unit testing, debugging, and troubleshooting to ensure software meets functional and performance requirements. Participate in code reviews to provide and receive constructive feedback and improve code quality. - Exposure to AI tools or platforms - Collaborate with team members to identify and resolve technical issues and optimize software performance. - Contribute to the documentation of software designs, technical specifications, and user manuals. - Work effectively in an Agile development environment, participating in sprint planning, estimation, and other team activities. - Continuously enhance your skills and knowledge through self-study, training, and professional development opportunities. - Stay up to date with emerging technologies and industry trends to propose innovative solutions and improvements. Qualifications Required Skills: - Bachelor’s degree in computer science, Software Engineering, or a related field. - 4+ years of professional experience in Software Development using .NET technologies. Strong proficiency in C#, ASP.NET, and .NET Core. - Extensive backend expertise with a focus on building strong and efficient backend systems. - Solid understanding of Design patterns, and SOLID principles. - Exposure to AI tools and platforms such as Copilot, MCPs, RAG APIs or similar. - Solid understanding of relational databases and experience with SQL. - Proficiency in using Azure services for cloud-based application development. - Familiarity with RESTful APIs and microservices architecture. - Familiarity with Data Warehousing concepts like, data lakes, data mining and OLAP (Online Analytical Processing) - Knowledge of data validation and quality assurance for data accuracy and reliability. - Experience with version control systems (e.g., Git) and Agile methodologies. - Excellent problem-solving skills and ability to troubleshoot complex issues. - Passion for staying updated with emerging technologies and trends in software development. - Strong communication skills and ability to work collaboratively in a team environment. Preferred Skills: - Azure certifications, such as Microsoft Certified: Azure Developer Associate. - Familiarity with Reporting tools such as Power BI. - Exposure to serverless computing and event-driven architectures. Familiarity with NoSQL databases (e.g., MongoDB, Cosmos DB) - Knowledge of authentication and authorization mechanisms, such as OAuth and JWT. - Familiarity with CI/CD pipelines and DevOps practices. - Cross platform integration (e.g. GCP to Azure messaging) Last date to apply 2026-05-03 Start date 2026-05-04 End date 2027-05-31 Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

PostNord is making a significant investment in strengthening its sustainability and ESG reporting capabilities towards customers as part of our data‑driven transformation. To support this journey, we are building a new ESG data foundation – and we are looking for an ESG Data Engineer to help define and build it. This is a key role in a new setup, where you will contribute to establishing trusted, scalable and auditable ESG data pipelines that sustainability reporting across the Group will rely on. You will help turn ESG reporting requirements into reliable data solutions from the ground up. The role sits within the Analytics Center of Excellence, responsible for shaping the future data and analytics landscape at PostNord. You will work with our Azure‑based data platform and collaborate closely with sustainability specialists. This position is ideal for someone who wants to take real responsibility, build something fundamental and apply strong technical skills in a purpose‑driven domain. Your role As a Data Engineer working with Sustainability & ESG, you will design and maintain data models and pipelines that support: Regulatory and statutory sustainability reporting (e.g. CSRD) Internal sustainability KPIs and performance management Management and operational insights related to climate impact, energy, transport, suppliers, and social responsibility You will work closely with sustainability experts, business stakeholders, Power BI developers, and the central data platform team to ensure data quality, traceability, and scalability. Job duties Enable a self-service data architecture that provides trusted sustainability and ESG data across the organization Design, develop, and deploy fact- and dimension-based data models to support sustainability reporting and analytics Build and maintain ETL/ELT pipelines integrating data from multiple operational, finance, and external sources Collaborate with sustainability, finance, and compliance stakeholders to translate reporting requirements into robust data solutions Ensure data quality, lineage, and transparency, supporting auditability and regulatory needs Collaborate with the Data Platform team to align on architecture standards and best practices Work with modern Azure-based data platforms, contributing to scalable and secure solutions Strong analytical skills and the ability to apply complex business and sustainability logic to raw data Data modeling and data warehousing Database design and ETL/ELT development Performance tuning and scalable data solutions Experience or strong interest in sustainability, ESG, or regulatory reporting domains Good understanding of front-end analytics and reporting tools (e.g. Power BI) Experience in requirement analysis, prototyping, and stakeholder collaboration A collaborative mindset and ability to work closely with business, sustainability specialists, and technical teams Preferably hands-on experience with: Databricks, Azure DevOps, Git, (Py)Spark, Python, CI/CD pipelines, Azure Data Platform, Medallion architecture. Ways of working You will work in an agile environment, applying a pragmatic SAFe-inspired approach adapted to team and product needs. As a Data Engineer at PostNord, you will remain hands-on, while also collaborating closely with Power BI developers, sustainability specialists, product owners, and domain teams to ensure solutions meet business and regulatory expectations. Your profile You have several years of experience as a Data Engineer or BI/Data Engineer in a data-intensive environment. You understand how to design enterprise-grade, reliable, and auditable data models, and you enjoy working close to the business. You are curious, eager to learn, and motivated by using data and technology to support sustainability, transparency, and responsible business practices. We offer you A flexible hybrid workplace in a prestige-free and collaborative culture Opportunities for professional and personal development A Nordic working environment with strong values In addition, we offer: Good insurance and occupational pension conditions Wellness allowance & access to office gym and swimming pool Employee benefits through PostNord’s employee foundation Employment according to a collective agreement We make everyday life easier – and more sustainable PostNord is the leading supplier of communication and logistics solutions to, from, and within the Nordic region. We aim to make everyday life easier and more sustainable for everyone who lives and works in the Nordics. We value accountability, courage, and commitment, and we believe diversity and teamwork lead to better outcomes. Apply We look forward to receiving your application! For questions about the role, please contact: Pernille Skovborg – Manager of Analytics Center of Excellence at pernille.skovborg@postnord.com. PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.

ÄR DU EN BACKEND-UTVECKLARE SOM VILL VARA MED OCH SKAPA FRAMTIDENS DIGITALA BANKUPPLEVELSE TILLSAMMANS MED ANDRA SOM BRINNER FÖR TEKNIK OCH SAMHÄLLSNYTTA? Avanza söker nu en engagerad utvecklare som vill vara med och forma nästa generations digitala tjänster för sparande, investeringar och bank. Hos oss kombineras teknikintresse med samhällsengagemang, i team där gemenskap, samarbete och inkludering är en självklar del av vardagen. Vi tror på ett arbetsliv där det går att vara både ambitiös och mänsklig, där balans och meningsfullhet är lika viktiga som innovation. OM ROLLEN Som Software Engineer hos oss på Avanza blir du en nyckelspelare i en av Sveriges mest spännande teknikresor. Vi har påbörjat en omfattande molntransformering mot Google Cloud Platform (GCP). Vårt mål är tydligt: Till 2030 ska vi huvudsakligen vara helt molnbaserade och under 2026 växlar vi upp tempot rejält med målsättningen att migrera över 100 tjänster. Du kommer att tillhöra ett av våra 45 autonoma team där du jobbar nära din Product Manager och dina designers. Våra team arbetar med Order Management System, strömmad data, höga transaktionsvolymer, datadriven utveckling och Machine Learning. Beroende på vilket team du landar i kommer din vardag handla om allt från att vidareutveckla vår högpresterande on-prem-miljö till att bryta ny mark i molnet. Du får vara med och sätta standarden för hur vi modellerar data och bygger skalbara tjänster i en modern molnmiljö. DIN TEKNISKA VARDAG Vi rör oss från en arkitektur byggd på Gigaspaces och interna plattformar mot en modern, molnbaserad stack. Där kommer du att arbeta med: * Java som huvudspråk för våra mikrotjänster * GCP som vår framtida hemvist, där vi bygger för hög tillgänglighet och skalbarhet * Modern datamodellering i molnet, med Google Spanner för applikationsdata och BigQuery för data warehousing * Kommunikation via gRPC och händelsestyrda flöden med Kafka VEM ÄR DU? Vi söker dig som älskar problemlösning och som vill bygga system som gör skillnad för över två miljoner kunder. I rollen som utvecklare gillar du att dela med dig av dina kunskaper och du lockas av utmaningen i att migrera komplexa system till molnet. Som person ser vi att du är en nyfiken och kommunikativ lagspelare som trivs bäst när du får lösa komplexa problem tillsammans med andra. Du tar stort ansvar för den tekniska kvaliteten och drivs av att skriva välstrukturerad, testbar och skalbar kod, samtidigt som du också har ett naturligt helhetstänk, där du vill bidra till både teamets arbetssätt och produktens utveckling. På Avanza får du en kultur som präglas av prestigelöshet, en miljö där det är självklart att fråga samt dela med sig av kunskap och där vi ser varje utmaning eller misslyckande som en möjlighet att lära oss och växa tillsammans. VI TROR ATT DU * Har minst 4 års relevant arbetslivserfarenhet * Har gedigen erfarenhet av att bygga och underhålla distribuerade system och API:er i Java * Har erfarenhet av att utveckla och driftsätta tjänster i molnmiljö (Cloud Native) * Förstår och kan läsa svenska obehindrat DET ÄR MERITERANDE OM DU HAR * Erfarenhet av Google Cloud Platform (GCP) * Erfarenhet av molnbaserade databaser såsom Google Spanner och/eller analytiska plattformar som BigQuery, gärna med dbt för datatransformering * Erfarenhet av vår nuvarande stack (t.ex. Gigaspaces eller liknande in-memory-lösningar) för att hjälpa oss i bryggan mellan on-prem och moln * Vana av att jobba med händelsestyrd arkitektur (Kafka) EN KULTUR FÖR GEMENSKAP OCH HÅLLBARHET Vi tror att de bästa resultaten uppstår i trygga team där alla får komma till tals. Därför lägger vi stor vikt vid samarbete, öppenhet och arbetsglädje. Vi strävar efter jämställda team där alla känner sig trygga att vara sig själva och bidra med sin unika kompetens. Hos oss får du utrymme att utvecklas i din egen takt och kombinera arbetet med ett hållbart liv. Vi tillämpar ett hybrid arbetssätt och ser gärna att du är på vårt nyrenoverade kontor på Regeringsgatan 103 ca. 2-3 dagar i veckan. ANSÖKAN Skicka din ansökan genom att klicka på knappen ”Ansök” nedan. Vi hanterar ansökningar löpande. Under veckorna 28-32 har vi semester och kommer därför inte att hantera ansökningar under denna tid. Vi återupptar hanteringen av ansökningarna från och med vecka 33, vill du komma i kontakt med oss under denna period så hänvisar vi till Rekrytering@avanza.se. Välkommen med din ansökan! Erbjudanden från rekryteringsföretag/annonssäljare undanbedes.

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.

Join the Data & AI journey at Schibsted Media Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Senior Data Engineer who wants to help shape reliable, scalable, and well-governed data products used across our media brands. In this role, you will work in the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve how we work with data pipelines, and guide technical direction for a team working closely with stakeholders across Finance, HR, Product, Subscription, and other data & AI teams. You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. About the role We are looking for someone who can be both hands-on and guiding. You do not need to be the loudest person in the room, but you should be able to create clarity, make pragmatic technical decisions, and help other engineers grow. You will play a key role in shaping how we build data as a product. This includes creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data. As a senior member of the team, you will also help create good engineering practices, mentor more junior engineers, and collaborate closely with adjacent teams working on data platforms and shared tooling. As part of a newly formed team of Data / Analytics Engineers, you'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey. What you will do Collaborate closely with stakeholders to understand needs, clarify tradeoffs, and deliver pragmatic solutions Design, build, and maintain robust data pipelines using technologies such as Snowflake, dbt, and Airflow Develop scalable and maintainable data models that support analytics, reporting, and AI use cases Help define best practices for data modeling, transformation, testing, documentation, and governance Mentor junior engineers and support the team in making good technical decisions Work with adjacent Data & AI teams to align on platform capabilities, standards, and shared ways of working Improve reliability, performance, cost-efficiency, and scalability of our data solutions Contribute to a culture of ownership, learning, and continuous improvement What we are looking forMust have Solid experience as a Data Engineer or similar role Strong SQL skills and good understanding of data warehousing concepts Experience with data modeling and building data products for analytics or reporting Experience with modern data transformation and orchestration tools (e.g. dbt, Airflow or similar) Ability to take ownership and make pragmatic technical decisions in ambiguous and evolving environments Strong communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. Collaborative mindset and ability to work well across teams Nice to have Experience with Python or scripting for data engineering workflows Experience with CI/CD, GitOps, and version control best practices Experience with cloud platforms such as AWS, GCP, or Azure Experience with data quality, observability, governance, or access control Experience as a senior engineer in a cross-functional environment Why join us? High ownership and influence in shaping technical direction and ways of working Opportunity to shape trusted data products with real impact across Schibsted Media Flexible working hours and hybrid work options with strong trust and autonomy International environment with offices in Oslo, Stockholm, and Krakow Strong learning culture with learning budget and active engineering & AI communities Access to Schibsted’s media products, including premium news and podcasts About you You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value. You are comfortable working in an environment where not everything is fully defined yet. You help create structure, bring others along, and make the team better through your technical judgment and collaboration. When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content. If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.