
Stegra Boden AB · Stockholm
Studies show that women and underrepresented groups often hesitate to apply unless they meet every requirement. At Stegra, we’re building an impact-driven, sust...
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.
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.
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
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.
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.
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will take a central role in building and evolving modern data products in a cloud-first environment on Google Cloud Platform. The focus is on creating reliable, scalable, and well-governed data pipelines that support changing business needs while aligning with a clear target vision. In this role, you will work close to product and domain teams in a data mesh context, where data sharing, independent deployment, and strong engineering standards are key. You will help shape how data products are built, operated, and improved over time, with attention to security, observability, performance, and maintainability. This is a great opportunity for you if you want to combine hands-on data engineering with influence over ways of working, cloud infrastructure, and long-term technical direction on GCP. Job DescriptionYou will take end-to-end responsibility for building, optimizing, and supporting both existing and new data pipelines on GCP. You will drive a DevOps-oriented way of working and manage CI/CD pipelines, Terraform, and cloud infrastructure. You will design data products as independent deployment units and ensure they follow defined standards for security, scalability, observability, and performance. You will work closely with the Product Manager and key stakeholders to shape the vision for data products and identify new opportunities that support evolving business needs. You will collaborate with product teams across domains to enable data sharing and integration in a data mesh setup. You will contribute to continuous improvement of data engineering practices and help reduce technical debt. You will stay current within data engineering, analytics, and cloud technologies and bring that knowledge into the team. RequirementsExperience building, optimizing, and supporting data pipelines in Google Cloud Platform. Hands-on experience with CI/CD, Terraform, and cloud infrastructure, primarily on GCP. Ability to work with a DevOps mindset and apply modern engineering principles in daily work. Experience designing data products with a strong focus on security, scalability, observability, and performance. Experience collaborating with Product Managers, stakeholders, and cross-functional product teams. Ability to work in a data mesh context and support data sharing and integration across domains. Cloud certification. Nice to haveExperience with GCP services such as Cloud Run. Exposure to large-scale data processing and orchestration frameworks such as Spark, Beam, or Hive. Experience working with data formats such as Avro, Parquet, Iceberg, or 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. GCP Data Engineer certification. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will play a key role in building and evolving modern data products in a cloud-first environment on Google Cloud Platform. The focus is on creating reliable, scalable, and secure data pipelines that support a clear target vision while enabling better data sharing across domains. In this role, you will work end to end with both new and existing pipelines, from development and optimization to support and continuous improvement. You will help shape how data products are built as independent deployment units, with strong standards for security, observability, performance, and scalability. You will also work closely with product and business stakeholders to define the direction of data products and identify opportunities where better data capabilities can support changing business needs. If you enjoy combining hands-on engineering with influence over ways of working, architecture, and platform quality, this is a great opportunity to make a real impact. Job DescriptionYou will take end-to-end responsibility for building, optimizing, and supporting data pipelines in GCP. You will drive a DevOps way of working and manage CI/CD pipelines, Terraform, and cloud infrastructure. You will design data products as independent deployment units that meet defined standards for security, scalability, observability, and performance. You will collaborate with the Product Manager and key stakeholders to shape the vision for data products and identify new opportunities. You will work with product teams across different domains to enable data sharing and integration in a data mesh context. You will contribute to continuous improvement in data engineering practices and help reduce technical debt. You will stay current within data engineering, analytics, and cloud technologies to support long-term platform development. RequirementsExperience building, optimizing, and supporting data pipelines end to end. Strong hands-on work with Google Cloud Platform. Experience working with CI/CD pipelines, Terraform, and cloud infrastructure. Ability to design data products with focus on security, scalability, observability, and performance. Experience collaborating with product teams and stakeholders to support data sharing and integration. A DevOps mindset and a drive to improve engineering practices and reduce technical debt. Nice to haveExperience with GCP services such as Cloud Run. Exposure to large-scale data processing and orchestration frameworks such as Spark, Beam, or Hive. Experience with data formats such as Avro, Parquet, Iceberg, or 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. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.
Om tjänsten Vill du ta en nyckelroll i förvaltningen och vidareutvecklingen av en verksamhetskritisk data warehouse-lösning i en stor och komplex organisation? Vi söker en erfaren Data Engineer som blir en central del av ett team med gemensamt ansvar för kundens data warehouse, i tätt samarbete med drift, utveckling och verksamhet. Arbetsuppgifter Kartlägga och dokumentera informationsflöden samt beroenden till kringliggande system Använda SQL för att analysera befintlig lösning, förstå samband och identifiera förbättringspotential Analysera och felsöka inkommande incidenter Koordinera och samverka med drift- och utvecklingspartner Agera teknisk kravställare mot utvecklingsteamet Arbeta med test- och releasehantering Fungera som arkitekt i befintlig lösning samt stötta inom governance och IT-säkerhet Driva initiativ för förbättring respektive avveckling Kvalifikationer (ska-krav) God kompetens inom SQL och SSIS God förståelse för informationsmodellering Erfarenhet av Azure Synapse och övriga Azure-molntjänster Erfarenhet av ett verksamhetsövergripande beslutsstöd Förmåga att analysera stora datamängder, se samband och omsätta det till verksamhetsnytta Självständig och strukturerad arbetsstil God förståelse för test, release och kvalitetssäkring Erfarenhet från större, komplexa organisationer med många intressenter Obehindrad engelska i tal och skrift Meriterande Tabulärmodeller och Power BI Databricks Agil utveckling och arbete i tågstruktur (SAFe) Personliga egenskaper Du trivs i skärningspunkten mellan teknik och verksamhet, har stark analytisk förmåga och navigerar tryggt i stora datamängder. Du är strukturerad och självgående, en god kommunikatör och van att agera teknisk kravställare och samarbeta effektivt med drift, utveckling och andra intressenter i en komplex miljö.