Required skills
- Test Strategy
- Data Quality
- Data Validation
- SQL
- PySpark
- Databricks
- Test Automation
- Data Pipelines
- Data Warehouse
- Lakehouse
- Insurance
- ISTQB
Languages: German
Job description
Seeking an experienced Test & Data Quality Engineer for a new data platform (Lakehouse) based on Microsoft Azure and Databricks. The role involves responsibility for test strategy, technical testing, and data validation until go-live.
Project overview
For our client, an insurance company in the greater Frankfurt am Main area, we are looking for an experienced Test & Data Quality Engineer as part of the setup of a new dispositional data platform (Lakehouse) based on Microsoft Azure and Databricks. You will be responsible for test strategy, technical tests, and data validation until go-live, ensuring that the data on the new platform is reliable and aligned.
Responsibilities
- Creation of test concept, technical test strategy, and test plan, as well as contribution to measurable acceptance criteria
- Execution of technical tests of data pipelines, data validation, and reconciliation between source and target systems
- Testing of the initial load as well as creation of check and reconciliation reports
- Co-building the data quality framework: rules, test routines, monitoring, and quality reports
- Automation of data and regression tests
- Support for business departments in UAT preparation, execution, and defect management
- Contribution to go-live release, hypercare, and bug fixing
Requirements
General Framework Conditions
- Several years of experience in testing and quality assurance of data warehouse or lakehouse projects
- Very good SQL skills, PySpark and Databricks are an advantage
- Experience with test automation for data pipelines (e.g., pytest, Great Expectations, Databricks tests)
- Experience with data quality rules, reconciliation, and acceptance processes
- Experience in the insurance sector is an advantage
- Structured, thorough way of working and strong communication skills with business departments
- Certification (e.g., ISTQB) is an advantage
- Fluent German and good English skills
- Workload: 50–80 %
- Start: 02.11.2026
- Duration: until 31.03.2027 with option for extension (follow-up phases planned until end of 2028)
- Work location: Greater Frankfurt am Main area (Germany)
- Onsite/Remote: High onsite component in the first 2–3 months (3–4 days per week), thereafter approx. 2 days onsite, rest remote
- Client interview: Availability for an interview with the client on 22 or 28.10.2026
Project details
- Start: 2026-11
- Duration: 6 Monate
- Remote: hybrid
- Location: Frankfurt, Deutschland, DE
- Languages: German
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