Senior Data Engineer (Databricks)

We are looking for skilled Data Engineers to join a team working on an important project for our client - a big company in the Danish financial sector (insurance and pensions).

The goal of the project is to move all existing data warehouse systems from on-premises to a modern cloud platform using Azure Databricks. You will join a small expert team (5–8 engineers) and work closely with the client’s specialists to change and improve their data environment.

Your Tasks:

• Build and design ETL/ELT processes with the Medallion architecture (Bronze, Silver, Gold layers).

• Transform and model data to create data products used for insurance pricing, AI, and analytics.

• Use Data Contracts to keep data quality and consistency.

• Work on data domains such as Agreements, Claims, Policies, and Customers.

• Create tests (including automated ones) for pipelines and data products.

• Work with analysts and business people to turn their needs into technical solutions.

• Help set and follow best practices in SQL, Python, and Azure Data Factory (ADF).

• Plan and track tasks using Azure DevOps.

Requirements:

• Proven experience with Azure Databricks and Azure Data Factory (ADF).

• Strong skills in SQL and Python for data engineering.

• Experience in building pipelines and data models.

• Good English (minimum B2) to communicate in an international team.

• Experience with Agile methods and Azure DevOps.

Nice to Have:

• Knowledge of Azure Purview.

• Experience with data validation tools (e.g., Great Expectations).

• Certificates like Databricks Data Engineer Associate or Microsoft DP-900.

• Past work in financial, insurance, or pension projects.

What We Offer:

• Attractive rate up to 180 PLN/h (+VAT) with a B2B contract.

• Long-term stable project (minimum 18 months).

• 100% remote work and flexible approach.

• A chance to work on a large international cloud migration project.

• Cooperation with a strong, skilled engineering team from both us and the client.