Data Engineer

Ready to help rebuild the data foundation for modern analytics and AI? A central banking institution based in Oslo is modernising its data platform, covering around 100 integrations and 450 datasets used by approximately 200 users. As an ML/Analytics Engineer (Data Engineer), you'll migrate on-premises processes to Databricks, develop data integrations and models, and connect the platform with everyday analytical tools. You'll work in a data-focused migration project with a “you build it, you run it” approach, supporting new solutions as the existing platform is gradually phased out. Key responsibilities

• Migrate on-premises data processes to the cloud, with a particular focus on Databricks.
• Build and adapt APIs and other data exchange mechanisms to support the new platform.
• Develop data models that support economic modelling and analysis.
• Automate data workflows and processes to improve operational efficiency.
• Develop flexible functions and processes that connect Databricks with analytical tools such as Excel.
• Contribute to needs-driven project work involving AI development and adoption.
• Operate and maintain solutions deployed on the new platform throughout the project, following a “you build it, you run it” approach.

Ideal candidate profile

• Educational background in computer science, computer engineering or a related field, preferably at master's level.
• Experience working with databases and SQL.
• Experience with Python or another relevant programming language.
• Practical experience with Databricks and DevOps/GitHub.
• Norwegian language skills would be a strong advantage.
• Independent, solution-oriented and flexible approach, combined with a collaborative mindset.
• Nice to have: Interest or experience in machine learning, data governance and AI.

Conditions

• Location: Oslo, Norway.
• Work model: Fully on-site; 100% presence in Oslo is required.
• Start date: As soon as possible
• End date: 30 June 2029.
• Application deadline: 12 November.

Recruitment steps

• Initial call with a KUBO recruiter to discuss your experience, strengths and development interests.
• Interview with the client (a few rounds may be required).
• Decision and feedback.

At KUBO, we genuinely care about people. We welcome candidates of all ages, backgrounds, identities, family constellations, health situations, and ways of thinking and interacting with the world. You’re welcome to be yourself — we value authenticity, and we’re committed to creating a fair and inclusive process for everyone.