Senior Data Engineer

5d5 days ago

Bankdata

Fredericia, DK · Full-time · DKK 700,000 – DKK 900,000

About this role

As Senior Data Engineer at Bankdata, become a key player in developing a new common Databricks data platform supporting seven financial institutions. Work with modern cloud technology, data architecture, and governance to enable large-scale data usage across organizations. Shape the foundation for the future data-driven financial sector.

Design and develop scalable, secure data platform ensuring data is accessible, reliable, and ready for analytics and AI. Handle data pipelines, ETL processes, cloud architecture in Azure/AWS, and Databricks implementations. Establish data governance for quality, compliance, and access control while optimizing performance.

Join Data Platforms & Analytics team with four developers and a Product Owner. Work agile in 2-week SCRUM sprints, hybrid between Aarhus and Fredericia with high flexibility for home office. Collaborate closely with data scientists, business, IT, and customers from financial institutions.

In first 6-12 months, take responsibility for Databricks setup, mentor colleagues on best practices, build stakeholder relations, ensure solution quality, and coordinate data governance. Gain significant influence on solutions and direction. Build something unique—a shared platform uniting multiple banks.

Requirements

3-5+ years experience with data engineering, including data pipelines, ETL, and data integration
Practical experience with Databricks and cloud platforms like Azure or AWS
Experience working with data governance, CI/CD, and preferably infrastructure as code
Experience with data architecture and practical implementation
Experienced collaborator who can communicate complex solutions simply

Responsibilities

Design and develop data pipelines and ETL processes ensuring efficient and secure data integration
Work with cloud architecture in Azure/AWS and implement solutions in Databricks
Establish and further develop data governance structures focusing on quality, compliance, and access control
Optimize platform performance and ensure stable operations
Translate business needs into scalable technical solutions in close collaboration with stakeholders
Take responsibility for setup and development of the Databricks platform
Spar and train colleagues in best practices and technology choices
Coordinate and inspire work on data governance and data lifecycle

Benefits

Opportunity to work with a unique data platform across seven financial institutions
Significant influence on technology choices, architecture, and future data usage
Strong professional environment with focus on sparring and development
Flexible working conditions and possibility for home office