Sökresultat för "data pipelines"

What you’ll do Build and maintain Python and SQL based systems for data pipelines, analyses, monitoring, and automated alerting Evolve Klarna's abilities to measure and monitor its business critical metrics from an AI-driven perspective Own projects end-to-end in time-boxed phases: scoping (1-2 weeks) → building → deploying → iterating Present technical work and tradeoffs to senior leadership Support and maintain what you build – no throwing projects over the wall Work publicly in Slack channels with radical transparency (all work visible to the team) Who you are AI-First Engineer: Heavy hands-on experience with OpenAI/Anthropic APIs, prompt engineering, and AI-assisted coding tools (Cursor, GitHub Copilot, Claude Code, etc) Tech Stack Flexible: Comfortable working across Python, Docker, AWS, APIs, databases – you adapt to the problem, not the other way around Business-Oriented: You translate stakeholder needs into technical solutions and care about why we're solving a problem, not just how Iterative Shipper: You build MVPs in 1-2 week cycles, gather feedback, and iterate quickly Change Resilient: You thrive when priorities shift, requirements evolve, and ambiguity is the norm Self-Driven: You proactively unblock yourself, drive projects forward, and communicate openly in public channels Awesome to have Good understanding of common design patterns and comfortable with modern Python 3 practices (type hints, protocols, Pydantic, uv) Experience with Terraform, Airflow, Slack API, OpenSearch, SPARQL, CI/CD Track record of maintaining production systems while building new features Background working with cross-functional stakeholders in product, analytics, and business operations Comfort working in highly transparent, documentation-heavy environments Experience killing or rescoping projects that aren't delivering value

På Trice vill vi göra skillnad på riktigt och skapa något som håller över tid. Hos de flesta konsultbolag blir du en resurs. Hos oss blir du en problemlösare som faktiskt påverkar. Vi är ett nyfiket och kompetent team som bygger något annorlunda, där teknik möter affär och ledarskap. Just nu växer efterfrågan på data engineering i flera av våra projekt, därför söker vi fler nyfikna problemlösare som vill växa med oss!    Om rollen  Som Data Engineer hos Trice bygger och underhåller du inte bara data pipelines och data-plattformar i molnet, du bidrar med helhetslösningar som löser våra kunders behov av relevant data av hög kvalitet, redo att användas av både människor och AI-system.  Du dyker djupt in i datan, hittar mönster och hjälper användarna att se saker de inte såg förut. Du jobbar nära projektledare, utvecklare och arkitekter för att utveckla våra lösningar, håller dig uppdaterad på ny teknik och nya verktyg och bidrar till att höja den tekniska nivån i projekten.   Om dig  Du har 5 år+ erfarenhet av data engineering och dataanalys, med fokus på att leverera relevanta, högkvalitativa dataprodukter som stöd för både mänskligt beslutsfattande och automatiserade flöden  Du har arbetat med moderna dataplattformar i molnmiljöer (t.ex. data lakehouses, data meshes eller liknande)  Du har god förståelse för både batch- och strömbaserad databehandling  Du har erfarenhet av att klassificera data och hantera åtkomstkontroll och informationssäkerhet  Du är bekväm med att använda AI-assisterade verktyg (t.ex. Cursor, Claude Code, GitHub Copilot) där det är relevant – och att granska kod och arkitektur  Det är meriterande om du har erfarenhet från flera molnplattformar (AWS, GCP, Azure) och verktyg som Snowflake, Databricks och dbt   Flytande svenska och engelska i tal och skrift    Om oss på Trice  Välkommen till ett konsultbolag som kombinerar digital spetskompetens med ett långsiktigt värdeskapande för kunder som också bryr sig om meningsfull utveckling. Vi är ett lyhört och snabbrörligt bolag med ca 12 medarbetare på en rolig expansionsresa. Grundade av erfarna ledare med bakgrund från växande scale-up-företag, är vår mission att driva positiv förändring i stor skala. Vi tar oss an komplexa utmaningar med innovativa lösningar och jobbar för en bättre framtid för organisationer i den digitala eran.    START: Enligt överenskommelse  PLATS: Göteborg   OMFATTNING: Heltid   LÖN: Fast lön   KONTAKT: Senior Recruiter, Mikaela Ehk mikaela.ehk@oddwork.se (för frågor om tjänsten, ej ansökningar)  SISTA ANSÖKNINGSDATUM: Urval sker löpande    Som ledande byrå inom employer branding och rekrytering är vi här för att revolutionera vår bransch, matcha talanger med företagskulturer och stärka organisationers arbetsgivarvarumärken. Nyfiken på att veta mer? Välkommen in i Oddworks värld genom att klicka här eller hitta fler karriärmöjligheter här.

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)

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.

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.

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.

Data är en av dagens viktigaste tillgångar, men det är först när den är tillgänglig, tillförlitlig och användbar som den skapar verkligt affärsvärde. Vi på Edge söker nu en Senior Data Engineer som vill vara med och utveckla moderna dataplattformar och skapa lösningar som hjälper våra kunder att fatta bättre beslut, effektivisera verksamheten och lägga grunden för framtidens analys och AI-lösningar. Som konsult hos Edge får du arbeta i spännande uppdrag hos ledande företag och organisationer inom bland annat finans, offentlig sektor, industri, retail och tech. Du blir en del av engagerade team där du samarbetar nära verksamheten, arkitekter, utvecklare och analytiker för att omsätta affärsbehov till hållbara och skalbara datalösningar. Om rollen Som Senior Data Engineer ansvarar du för att designa, utveckla och vidareutveckla moderna dataplattformar i molnet. Du arbetar genom hela dataflödet från insamling och transformation till datamodellering och leverans av data till analys, rapportering och AI-lösningar. Du kommer att bygga robusta data pipelines, optimera prestanda och säkerställa hög datakvalitet samtidigt som du bidrar till moderna arbetssätt inom DataOps, DevOps och automatisering. Rollen innebär ett nära samarbete med både tekniska team och verksamheten där du hjälper till att omsätta komplexa behov till smarta och långsiktiga lösningar. Arbetsuppgifter Du kommer bland annat att: Designa och utveckla moderna data pipelines och dataplattformar. Bygga ETL och ELT flöden för stora datamängder. Arbeta med Data Lake, Lakehouse och Data Warehouse lösningar. Modellera och strukturera data för analys, BI och AI. Optimera prestanda, datakvalitet och skalbarhet. Automatisera leveranser genom CI/CD och Infrastructure as Code. Samarbeta med verksamheten för att förstå och omsätta affärsbehov till tekniska lösningar. Bidra med teknisk rådgivning och kontinuerlig förbättring av kundernas dataplattformar. Vem vi söker Vi söker dig som har ett genuint intresse för modern Data Engineering och som trivs med att lösa komplexa problem. Du är van att ta ansvar, arbetar strukturerat och uppskattar samarbeten där kunskapsdelning och kvalitet står i fokus. Du har en god kommunikativ förmåga och känner dig lika bekväm i tekniska diskussioner som i dialog med verksamheten. Du är nyfiken på ny teknik och vill fortsätta utvecklas inom moderna dataplattformar och molnlösningar. Kompetens För att lyckas i rollen ser vi att du har: Minst 8 års erfarenhet som Data Engineer eller motsvarande. Mycket goda kunskaper i Python och SQL. Erfarenhet av moderna cloudplattformar såsom Azure, AWS eller Google Cloud Platform. Erfarenhet av Databricks, Snowflake eller liknande dataplattformar. God kunskap inom ETL/ELT, datamodellering och Data Warehouse/Lakehouse. Erfarenhet av Spark, DBT, Airflow eller liknande tekniker. Erfarenhet av Git, Docker och CI/CD. Erfarenhet av agila arbetssätt och DevOps. Goda kunskaper i svenska och engelska, både i tal och skrift. Meriterande Vi ser det som ett extra plus om du har erfarenhet av: Microsoft Fabric Terraform eller annan Infrastructure as Code Kafka eller streamingplattformar Kubernetes Delta Lake, Iceberg eller Hudi Power BI, Tableau eller Looker Data Mesh och Data Products AI-, Machine Learning eller GenAI-lösningar Certifieringar inom Azure, AWS eller Google Cloud Platform Vi erbjuder Hos Edge får du möjlighet att arbeta med några av marknadens mest intressanta data och digitaliseringsprojekt. Vi erbjuder varierande uppdrag, stora möjligheter till kompetensutveckling och en kultur där samarbete, kvalitet och långsiktiga relationer står i centrum. Vi välkomnar både dig som söker en projektanställning och dig som driver eget konsultbolag och vill samarbeta med oss i framtida uppdrag. Ansökan Låter detta som nästa steg i din karriär? Skicka gärna ditt CV. Urval sker löpande och vi ser fram emot att höra från dig. Välkommen till Edge of Talent – tillsammans bygger vi framtidens datalösningar.

About the role Brickanta is built by an AI-veteran team. We've been shipping AI systems since 2018 and have built technical products inside some of the world's biggest brands. Now we're pointing that at a $15 trillion industry that software mostly forgot. We build for a domain where reliability matters: high-stakes decisions, messy inputs, real money on the line. We're 20 people and moving fast. At our size you own big parts of the backend that the whole product stands on. You'll get fuzzy problems like "document ingestion needs to be fast and reliable," along with the room to decide what to build and the mandate to ship it. We don't optimize for credentials. We optimize for builders who ship. What you'll build and own The core services behind bid analysis, estimation, and procurement: APIs, data pipelines, background jobs, and the plumbing that turns messy construction inputs (documents, specs, standards, drawings) into structured data our AI can reason over and our customers can trust The data layer itself. Schema design, query performance, and the indexing and batching decisions that keep things fast as records pile up The architecture that outlives any single feature. You make the calls on data model, service boundaries, when to add a queue, and what breaks at 10x, and the rest of the team builds on them for years Reliability and evaluation infrastructure: the systems that measure quality, catch regressions, and make AI output repeatable and measurable Performance and observability that hold up as usage scales, so the product stays fast and debuggable under real load Integrations and forward-deployed problem-solving that make it work in the customer's reality The systems live in production, which means you run them. You're on call for what you build, and you write code that's debuggable when something goes wrong at 3am You're probably a fit if you Have shipped and operated backend systems in production. You've been on call, debugged the thing at 2am, and learned from it Have real fluency with SQL and relational data. You anticipate bottlenecks and can read the metrics after you ship to confirm it's working Have the judgment to know when to build something properly versus ship a rough version and revisit, which corners are safe to cut, and when "clever" is a liability. You've felt the consequences of getting this wrong Reason from user pain → solution → measurable outcome Care about correctness in messy, real-world data, including the edge cases that only appear in production Move fast and care about craft at the same time Raise the people around you through code review, patterns others follow, and mentoring, without slowing your own shipping Work with little management. You surface risks early, push back on shaky requirements, and translate between technical reality and business need, including talking to construction customers directly Have opinions about AI and LLM systems in production (evals, reliability, latency, cost) or are hungry to develop them How we work AI is core to how we build, not a bolt-on. We work AI-first day to day, encode our conventions and hard-won lessons into skill files, and expect everyone here to sharpen that craft as agentic engineering matures. If you've been pushing the edge of how AI fits into real engineering work, you'll fit right in. What success looks like In your first month you've shipped something real to production, you understand our stack and the shape of construction data, and you're already flagging what's fragile By your first quarter you own a core backend surface end to end. When it breaks, people look to you, and it breaks less because of decisions you've made By your first year the architecture you drove is load-bearing across the product, new engineers ramp faster on the patterns you set, and the systems you own are ones the team trusts without thinking about them Tech stack Something like: language and framework (e.g. Python/FastAPI, TypeScript/Node), primary database (e.g. Postgres), queue and cache (e.g. Redis), infra and deployment (e.g. AWS, Docker), plus the LLM tooling you use. List what a hire will actually touch. You can add the standard Brickanta line: prior experience with our exact stack is a nice-to-have, not a requirement. How we evaluate Show us what you've built: repos, demos, shipped products, systems you've owned end to end What you've made work counts for more than where you worked Note: Sweden is Brickanta's first and most important market. Working comfort in English is required; Swedish is a plus but not required. Keen on doing your life's work, bringing one of the world's largest and most impactful industries, the $15 trillion construction industry, into the AI era?

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 Data Engineer for one of our clients. About the assignment: Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies. Nice to Have Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi). Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders. 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.

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 looking for an Analytics Engineer to join the team in Stockholm. About the Team We are proud of our ability to combine technical expertise with sound business sense. This translates to solutions that are not only effective in addressing current challenges but also sustainable long term. Our team is composed of Analytics Engineers and Data Engineers, fostering a collaborative environment that enables us to manage data end to end – from optimizing data pipelines to developing user-friendly models for analysis. Our technology stack includes BigQuery (SQL), Looker, dbt™, and Google Cloud Platform, with opportunities to evaluate and introduce new technologies as we scale. About the Role As an Analytics Engineer, you'll work with developing data capabilities that power decisions across our global organization. You'll have significant technical and organizational impact, driving both immediate solutions and long-term strategic initiatives. Examples of responsibilities: * Develop data transformation steps and build a strong data modeling foundation for enabling self-service analytics across the company. * Build and maintain trusting, working relationships with business partners across domains and discover high-impact opportunities to enable self-service analytics in our semantic layer. * Strategically plan and deliver meaningful projects to increase data literacy at Storytel. * Lead the resolution of critical data issues, establishing monitoring systems and best practices to prevent future problems and improve data reliability. * Collaborate with data practitioners to understand their needs and requirements, breaking down complicated technical concepts to fit the audience. * Drive adoption of technical best practices across the data team, mentoring others and bringing in industry innovations that improve how we work. We believe that you have * Experience with creating and maintaining semantic layers. * Experience in working with data (BI/Analytics/Data Engineering) specializing within Analytics Engineering. * Deep expertise in SQL and data modeling and extensive experience with modern data stack technologies (e.g., dbt™, Looker, BigQuery, or equivalent tools). * The ability to consistently deliver performant, accurate, and scalable solutions. * Experience mentoring junior engineers and driving team-wide technical improvements. * Proven ability to lead complex data projects, solve problems independently, and proactively improve products. * Excellent communication skills with the ability to explain complex technical concepts to various audiences. * The ability to thrive in a feedback culture and constantly strive to improve your own skills and knowledge. Bonus if you experience * Working with Python. * With data governance and access management. * With different data modeling schemas. * Working with international teams and global data operations. 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. Does this sound like you? If you feel like Storytel is a place where you could thrive, please submit your application in English and we will contact you as soon as possible.

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 makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information. Key Responsibilities: Analyse business requirements and translate them into technical solutions. Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake. Optimize migration processes ensuring data integrity, accuracy, and performance. Create and manage Snowflake objects (tables, views, schemas, stages, procedures). Implement partitioning, clustering, and performance tuning strategies. Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel Develop and maintain data models, schemas, and stored procedures in Snowflake SQL Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization. Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc). Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility. Develop reusable scripts for automation of migration tasks (Python, Shell etc.). Conduct data reconciliation between Teradata and Snowflake post-migration. Work closely with data architects, analysts, and business stakeholders to understand requirements Document migration processes, best practices, and technical solutions. Technical Skills: Strong hands-on experience with Snowflake cloud data warehouse. Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks. Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.). Knowledge of DevOps and CI/CD practices for data pipelines and workflows. Experience in data engineering or database development, particularly with data migrations. Experience in different batch processing and data loading/transformation strategies. Proficiency in scripting for automating regular or repeating task (python, shell scripting etc). Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT). Experience in analysing and converting Teradata-specific functions to Snowflake equivalents. Strong problem-solving and analytical skills. Snowflake SnowPro Certification is a plus Experience in banking and financial services will be preferred. The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. Cognizant is a global community with more than 300,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you. About us: Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Disclaimer: Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. Snowflake Developer is responsible for designing, building, and optimizing data pipelines using Snowflake and IDMC. Build and maintain ETL/ELT workflows and data pipelines using Snowflake and IDMC to process large datasets efficiently. Design data models, create and maintain views, stored procedures, and other database objects in Snowflake, optimize data storage, and ensure scalability in Snowflake. Implement data governance, access controls, and encryption to protect sensitive information. Key Responsibilities: Analyse business requirements and translate them into technical solutions. Design, develop, and implement ETL/ELT pipelines to migrate data from Teradata to Snowflake. Optimize migration processes ensuring data integrity, accuracy, and performance. Create and manage Snowflake objects (tables, views, schemas, stages, procedures). Implement partitioning, clustering, and performance tuning strategies. Implement and manage Snowflake features such as Snowpipe, Streams, Tasks, and Time Travel Develop and maintain data models, schemas, and stored procedures in Snowflake SQL Monitor and tune Snowflake performance, including warehouse sizing and query optimization and ensure efficient resource utilization and cost optimization. Manage external stages, storage integrations, data security, access controls, and role-based permissions in Snowflake Automate data ingestion from various sources using Snowflake connectors and external stages using different file format, code pages, and any integration with Saas tools (e.g. dbt cloud, Fivetran, Databricks etc). Rewrite and optimize Teradata SQL scripts, macros, and stored procedures for Snowflake compatibility. Develop reusable scripts for automation of migration tasks (Python, Shell etc.). Conduct data reconciliation between Teradata and Snowflake post-migration. Work closely with data architects, analysts, and business stakeholders to understand requirements Document migration processes, best practices, and technical solutions. Technical Skills: Strong hands-on experience with Snowflake cloud data warehouse. Knowledge of Snowflake features: Time Travel, Cloning, Micro-partitions, Streams & Tasks. Hands on experience in Snowflake features like external stages, Snowpipe, storage integration, File Formats, RBAC etc Strong experience with SQL and various database technologies (Oracle, Teradata SQL Server, PostgreSQL, etc.). Knowledge of DevOps and CI/CD practices for data pipelines and workflows. Experience in data engineering or database development, particularly with data migrations. Experience in different batch processing and data loading/transformation strategies. Proficiency in scripting for automating regular or repeating task (python, shell scripting etc). Understanding of Teradata architecture, SQL, and utilities (BTEQ, FastLoad, MultiLoad, TPT). Experience in analysing and converting Teradata-specific functions to Snowflake equivalents. Strong problem-solving and analytical skills. Snowflake SnowPro Certification is a plus Experience in banking and financial services will be preferred. The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. Cognizant is a global community with more than 300,000 associates around the world. We don’t just dream of a better way – we make it happen. We take care of our people, clients, company, communities and climate by doing what’s right. We foster an innovative environment where you can build the career path that’s right for you. About us: Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Disclaimer: Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

För vår kunds räkning söker vi nu en datakonsult till deras team i Stockholm. Det här är en unik möjlighet för dig som vill bygga riktigt bra datalösningar, ha friheten att forma din egen roll och tillhöra ett tajt team där människan alltid sätts i första rummet. Om tjänsten Vår kund är ett personligt och snabbfotat techkonsultbolag i Stockholm som levererar tjänster inom bland annat mjukvaruutveckling, data, AI och cloud. De drivs av en enkel men stark övertygelse: när man skapar en miljö där människor känner sig trygga, sedda och fria att växa, så levererar de också på riktigt. Det här är ett mindre, sammansvetsat bolag där varje person är med och formar kulturen och riktningen. Som datakonsult utformas rollen tillsammans med dig utifrån din bakgrund, dina styrkor och dina framtidsmål. Du kan arbeta brett över hela datakedjan – från pipelines och datamodellering till maskininlärning, AI och analys – eller fördjupa dig i det du brinner mest för. Hos vår kund är du aldrig bara en konsult på ett uppdrag, du blir en viktig del av något de bygger gemensamt. Du erbjuds En dynamisk lönemodell med fast grund och prestationsbaserad bonus, generöst friskvårdsbidrag och flexibla semestervillkor Blir en del av ett prestigelöst team där din personliga utveckling styr dina uppdrag Arbetsuppgifter I rollen arbetar du i nära samarbete med bolagets kunder för att förvandla data till verkligt affärsvärde. Beroende på uppdrag och ditt intresse kan arbetsuppgifterna inkludera: Bygga robusta data pipelines, arbeta med datamodellering samt sätta upp moderna arkitekturer i data lakes och warehouses. Utveckla statistiska modeller, experimentera med AI/LLM och driftsätta maskininlärningsmodeller i produktion. Hjälpa kunder att förstå sin data, säkerställa hög datakvalitet och översätta komplexa tekniska lösningar till affärsnytta. Vi söker dig som Har en relevant akademisk utbildning inom datateknik, systemvetenskap, fysik eller motsvarande praktisk erfarenhet som har gett dig en stark teknisk grund. Har ett par års (gärna runt 3–4 år eller mer) relevant arbetslivserfarenhet inom dataområdet. Har goda kunskaper i Python och SQL. Trivs i en konsultativ roll med direkt kundkontakt och har lätt för att samarbeta i team. Talar och skriver obehindrat på både svenska och engelska. Det är meriterande om du har erfarenhet av något eller några av följande: Cloudmiljöer (AWS, Azure eller GCP) och verktyg som Databricks eller dbt. Arbete med AI, LLM, MLOps eller avancerad dataanalys. Tidigare erfarenhet av konsultrollen. För att lyckas i rollen har du följande personliga egenskaper: Vi söker en självgående person med en stark inre motor och en ständig vilja att lära sig nytt. Eftersom du kommer att arbeta nära slutkunderna är det viktigt att du är kommunikativ och prestigelös – du lyssnar in kundens behov och kan förklara tekniska koncept på ett enkelt sätt. Du drivs av att leverera kvalitet, men värdesätter lagspel och att hjälpa dina kollegor framför solo-prestationer. Vår rekryteringsprocess Denna rekryteringsprocess hanteras av Academic Work och vår kunds önskemål är att alla frågor rörande tjänsten skickas till Academic Work. Vi tillämpar löpande urval och kommer plocka ner annonsen när tillräckligt många kandidater har nått slutskedet i rekryteringsprocessen. Vid ansökan efterfrågas ett CV. Personligt brev använder vi inte som urvalsmetod och behöver därför inte bifogas. Rekryteringsprocessen innehåller två urvalstest: ett personlighetstest och ett test i kognitiv förmåga. Testerna är ett verktyg för att kunna hitta den kandidat med högst potential för tjänsten samt främja jämlikhet, mångfald och en rättvis rekryteringsprocess.

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 FOR MUST 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.