Experienced Data Engineer

Are you passionate about data, AI and technology, and eager to build digital solutions that create real business value?

Our mission is simple: to deliver business value through digital solutions that meet real business needs.

How you will make an impact

As a Senior IT Developer, you will join the Commercial IT Product team supporting Innovation and Consumer Intelligence. You will help develop and maintain data-driven solutions that enable better insights, decision-making and business outcomes. Working closely with business stakeholders and team members, you will translate requirements into scalable and maintainable technical solutions.

Together with the team, you will build and maintain data products on a data platform primarily built around Azure Databricks, Power BI, and Microsoft Foundry. Solutions will be built using PySpark and SQL, with deployment via Terraform and version control in Azure DevOps or GitHub.

Your key responsibilities include

• Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
• Develop and maintain data pipelines, data models and digital solutions that support business needs.
• Build scalable ETL/ELT processes and contribute to high-quality data engineering practices.
• Support the continuous improvement of existing solutions and development processes.
• Work closely with developers, architects, IT specialists and business stakeholders to deliver reliable and maintainable solutions.
• Contribute to the development of modern cloud-based data platforms and applications.

What will make you successful

You are curious, analytical and have strong collaboration skills. You enjoy solving complex problems, working with data, and collaborating with both technical and non-technical stakeholders. You strive to get the best out of collaboration and support colleagues.

We imagine the ideal candidate brings

• A degree in information systems, computer science, engineering or similar.
• 3–5 years of experience as a Data Warehouse Developer, BI Developer, SQL Developer or Data Engineer.
• The ability to translate business needs into practical technical solutions.
• Experience developing with Spark in Databricks.
• Proficiency in vector databases, embeddings, LLMs, data agents and generative AI.
• Proficiency in SQL and PySpark.
• Proficiency in any ETL/ELT/integration/workflow/task-automation tool, such as Azure Data Factory, Logic Apps, Azure Functions or SSIS.
• Knowledge of data-engineering best practices and scalable solution design in a lakehouse environment.
• A proactive, positive mindset and willingness to learn new technologies, especially within AI.

It is an advantage but not a requirement if you also have

• Databricks experience.
• Experience with basic data science concepts and LLM knowledge.
• Azure cloud experience.
• Terraform knowledge.
• Knowledge of deployment concepts and containerization.
• Experience in web application development.

What do we offer?

You will join a collaborative IT Product team within Commercial IT, working closely with Innovation and Consumer Intelligence. The role offers an opportunity to work at the intersection of business, data, AI and technology, where your solutions help transform data into actionable insights and measurable business value.

The environment encourages learning by doing, curiosity, knowledge sharing and continuous development.

• Work in an international environment with teams across different countries.
• Scandinavian working style with a flat structure, informal atmosphere and no formal dress code.
• Flexible working hours with a hybrid work model.
• Additional annual leave of up to 4 extra days, awarded over time in recognition of tenure.
• Private medical care and life insurance.
• Cafeteria benefits system, including gym card, vouchers, travel points and cinema tickets.
• Employee Assistance Program with psychological, legal and financial support.
• Wellbeing initiatives, including sports activities and communities.
• Structured onboarding and access to expert-led training.
• Co-financing of education and certifications.
• Employee referral bonus program.
• Modern office with greenery and plants.
• On-site parking.
• Spacious canteen with fresh breakfasts and lunches available daily.

This role requires office attendance 50% of the time, plus one additional day per month.

The salary range and benefits will be discussed before the first interview.