Data Engineer joining German Credit Lines team, focusing on Databricks and data lake solutions. Responsibilities include designing data models and optimizing data pipelines.
Responsibilities
Develop and optimize data pipelines in Databricks.
Design and implement data models in a data lake environment.
Manage and configure Unity Catalog for data asset governance and access control.
Collaborate with the German Data Management team to establish and follow data management principles.
Gather business requirements from the Credit Lines Germany team and deliver technical solutions on the company’s data lake platform.
Prepare documentation and support the adoption of new data solutions.
Participate in testing and validation to ensure data quality.
Provide knowledge transfer and training to team members to enable self-service use of data assets for actuarial analysis and risk management.
Requirements
University degree in Computer Science, Data Engineering, Information Systems, or a related field.
1–3 years' experience as a data engineer or in a similar technical role.
Hands-on experience with Databricks (Spark, Delta Lake) and cloud-based data platforms.
Practical experience with Unity Catalog is a strong advantage.
Proficiency in Python and SQL.
Ability to work collaboratively and communicate with both technical and business stakeholders.
Experience with documentation and process mapping.
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