Data Engineer

Schibsted

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.

Stegra

Studies show that women and underrepresented groups often hesitate to apply unless they meet every requirement. At Stegra, we’re building an impact-driven, sustainable company - and we need a diverse, inclusive team to make it happen. If you share our passion but don’t meet every qualification, we encourage you to apply anyway. You might be the perfect fit for this role, or another as we grow. At Stegra, we’re not just building a plant, we’re proving that sustainable industry is possible. And to do that, we need people like you. Join a team where safety comes first. Where we support each other, learn as we go, and make space for everyone to grow and contribute. This is your chance to be part of something big - while being closer to nature and leading a balanced, purposeful life. What you’ll do We are building a next-generation steel plant - and data is a core part of how we operate, optimize, and scale. We believe the best data solutions are created close to the business, by teams who understand both the context and the technology. We are now looking for a Data Engineer to join our Digital Domain supporting Finance and HR. In this role, you will work at the intersection of business and technology - helping shape how data is modeled, shared, and used to drive decisions across the organization. You will be part of a cross-functional team where business experts, analysts, and developers collaborate closely. Together, you will build data products that are reliable, understandable, and designed to be reused across the company - not just for a single use case. At the same time, you will contribute to how we build our data platform and ways of working. We aim to continuously evolve - adapting to new technologies, improving how we design data, and staying aligned with modern best practices. You will also take a leading role in facilitating the data platform roadmap - aligning needs across domains, shaping priorities, and ensuring progress on key initiatives. Responsibilities: * Design, build, and maintain data pipelines and products that enable Finance and HR to make reliable, data-driven decisions * Work closely with business stakeholders and analysts to translate needs into scalable data models and solutions * Help structure and expose data so it is consistent, understandable, and reusable across domains · Take an active role in improving how we work with data across teams - leading and driving improvements to platform capabilities, standards, and patterns * Enable self-service use of data by making it accessible and usable beyond engineering teams * Make thoughtful trade-offs in how data is designed and delivered - balancing batch vs near-real-time, handling historical data, and shaping metrics and semantics for usability * Define and promote best practices for data quality, testing, documentation, and access control * Explore how modern tooling, including AI-assisted development, can improve how we build, test, and maintain data products * Support and coach colleagues in modern data engineering practices What you’ll bring You enjoy solving real problems and are motivated by building data solutions that are actually used. You are curious about how data platforms should be designed — and how those designs need to evolve as technology and business needs change. We believe you bring many of the following: * Several years of experience in data engineering or modern data platform development * Experience building end-to-end data solutions (ingestion, storage, transformation, consumption) * Interest in contributing beyond your immediate team — shaping shared ways of working, standards, and platform capabilities * Strong SQL skills and experience modeling data for analytical use * Experience with cloud-based data platforms and infrastructure-as-code * Knowledge of engineering practices such as CI/CD, testing, and code review * Ability to make sound technical decisions without being tied to specific tools or vendors * Interest in areas such as self-service analytics, semantic modeling, temporal data, and data governance * Experience working closely with business stakeholders, analysts, or operational teams * Strong communication skills and ability to explain technical solutions clearly Nice to have: * Experience with, or interest in, industrial/operational (OT) data and how data from physical processes can be used for analytics and optimization Benefits at Stegra At Stegra, you’ll join a company where your work has real impact on the climate, the industry, and future generations. We’re building a culture rooted in safety, trust, and inclusion, where people feel supported to grow and thrive. Read more about Benefits at Stegra here. Here’s what makes this role unique: * Breadth, not silos: You’ll work across multiple technical areas - data, architecture, infrastructure and backend - gaining deep understanding of our digital ecosystem. * Ownership from day one: You’ll support a specific domain and act as a bridge between operations and tech, and drive solutions all the way from need to implementation and iteration. * Close to the action: You’ll collaborate closely with stakeholders, understand their workflows, and ensure your digital solutions create real value in their day-to-day operations. This is Stegra Stegra is on a mission to change the global steel industry by producing green hydrogen, iron, and steel - with the goal of eliminating CO₂ emissions. Instead of coal, we use green hydrogen and fossil-free electricity, meaning our primary emissions will be water and heat. By 2030, our ambition is to produce 5 million tonnes of green steel annually in our fully integrated, digitized, and sustainable plant in Boden, Northern Sweden - currently under construction. But this is just the beginning. Our expertise in green hydrogen will enable us to decarbonize industries beyond steel, paving the way for a cleaner future. Our Stockholm Office Our modern Stockholm office is located on Norra Stationsgatan, close to Karolinska University Hospital in central Stockholm. Here, you’ll find a bright, collaborative workspace where cross-functional teams connect, share ideas, and drive progress. Whether you're visiting regularly or working hybrid, you'll be part of a vibrant office culture with easy access to the city’s energy and amenities.

HiQ

HiQ växer inom data, AI och cloud - och vi letar nu efter Data Engineers som vill bygga moderna dataplattformar, skapa smarta dataflöden och göra det möjligt för våra kunder att fatta bättre beslut och utveckla nya tjänster. Som Data Engineer på HiQ kommer du att bygga och implementera skalbara dataplattformar i molnet, från datainhämtning och transformering till realtidsanalys och vidare till användning i analys, rapportering och AI. Du designar och optimerar datamodeller och dataflöden, inklusive streaminglösningar med till exempel Apache Kafka eller motsvarande, och du arbetar med robusta CI/CD processer samt IaC i moderna cloudmiljöer. Du blir en viktig del i hur våra kunder samlar, strukturerar och använder sin data för att skapa verkligt affärsvärde. Utöver detta kommer du att vara med i den AI satsning som HiQ gör, med möjlighet att påverka teknikval, arkitektur och arbetssätt för hur data blir navet i våra AI lösningar. Vi söker dig som har: * Minst 3 års erfarenhet av data engineering och molnbaserade dataplattformar * Erfarenhet av molnlösningar i Azure, AWS eller GCP * Goda kunskaper i Python och SQL för att bygga, automatisera och optimera dataflöden * Erfarenhet av att arbeta med datamodellering, prestandaoptimering och kvalitetssäkring av data * Högskole eller universitetsexamen i datateknik, datavetenskap, systemvetenskap eller annan relevant inriktning * Svenskt medborgarskap samt är flytande i svenska och engelska Meriterande: * Erfarenhet av Databricks, Snowflake eller liknande plattformar * Erfarenhet av AI eller ML workflows, till exempel att ta modeller i produktion i en dataplattform * Förmåga att designa dataarkitektur och göra tekniska vägval i komplexa miljöer * Erfarenhet av att arbeta med ETL eller ELT verktyg och ramverk som till exempel Airflow eller dbt * Vana av att sätta upp och underhålla CI CD pipelines för data och molnprojekt * Vana av att jobba kundnära i tekniska projekt Vi tror att du är en person som älskar att bygga stabila lösningar som gör data enkel att använda. Du trivs när du får kombinera struktur med kreativitet, du gillar att dela med dig av din expertis och du har en naturlig förmåga att driva arbetet framåt tillsammans med andra. Varför HiQ Sedan 1995 har HiQ varit konsultbolaget som förenklat världen för både kunder och slutanvändare med hjälp av teknik, design och kommunikation. HiQ har alltid fokuserat på två saker: att ha kul på jobbet och att leverera lösningar utöver förväntningar, det är vad som driver oss framåt. Vi HiQare är stolta över att ha en kultur som präglas av resultat, ansvar, enkelhet och glädje. Vi tror på att arbeta tillsammans för att nå våra gemensamma mål och strävar efter att hjälpa varandra att fortsätta växa och utvecklas. Hos oss får du utöver chansen att utveckla din egen kompetens också möjlighet att lära, leda och inspirera dina kollegor.   I denna rekrytering tillämpar vi löpande urval och tjänsten kan komma att tillsättas innan ansökningstiden har gått ut. För att göra rekryteringsprocessen så rättvis och objektiv som möjligt kommer det att ingå urvalsfrågor, intervjuer, tekniska tester, referenstagning och bakgrundskontroll. Vi ser fram emot att lära känna dig och tillsammans forma framtidens dataintensiva och AI drivna lösningar. Varmt välkommen med din ansökan! Just nu tankar vi energi på semestern och är därför lite långsammare på bollen än vanligt. Vi är tillbaka i början av augusti och hör av oss då – tills dess hoppas vi att du njuter av en riktigt skön sommar! 🌞