Data Engineer

How you will make an impact

As an AI/Data Engineer, you will play a key role in designing and delivering scalable data and analytics solutions. You will build and maintain cloud-based data pipelines and enable data-driven decision-making across the organization.

• Data modelling: designing data models that support analytics, reporting, and AI workloads
• Prepare and structure data for analytics and AI use cases
• Enable AI/ML solutions by delivering reliable data for training, inference, and monitoring
• Develop pipelines that support Machine Learning models and AI services in production
• Work with AI/ML practitioners to operate solutions, including data availability, performance, and MLOps alignment
• Contribute to the evolution of the data platform to support advanced analytics and AI
• Help shape and mature the operating model and ways of working
• Drive continuous improvement across processes, tools, and collaboration
• Strengthen the partnership between business and IT
• Contribute to building a high-performing, collaborative team culture

What will make you successful

• Proactive mindset, strong problem-solving skills, and a passion for data and analytics
• Ability to communicate clearly across stakeholders
• Experience with cloud platforms, ideally Microsoft Azure, including Data Factory, Data Lake, Databricks, Functions, CI/CD, Terraform, Unity Catalog, and Fabric
• Solid experience with ETL processes and data transformation
• Strong skills in Python/PySpark and SQL
• Experience working with data pipelines supporting AI/ML use cases is an advantage
• Ability to work with large volumes of structured and unstructured data
• Strong communication skills in English

What do we offer?

• International environment with teams across different countries
• Scandinavian working style with a flat structure, informal atmosphere, and no formal dress code
• Flexible working hours and a hybrid work model
• Up to 4 additional annual leave days awarded over time based on tenure
• Private medical care and life insurance
• Cafeteria benefits system, including gym card, vouchers, travel points, and cinema tickets
• Employee Assistance Program providing 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 on-site parking
• Spacious canteen with fresh breakfasts and lunches available daily

This role requires working from the office 50% of the time plus one additional day per month. The salary range and benefits will be discussed before the first interview.