Callista Group AG
1 week ago
Senior Test & Data Quality Engineer (Azure Databricks)
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Company information
- Company
- Callista Group AG
- Location
- Frankfurt, Hessen, Germany Germany
- Posted
- 1 week ago
Job description
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 up to go-live, ensuring that the data of the new platform is reliable and aligned.
Tasks
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 and creation of inspection and reconciliation reports
Co-development of the data quality framework: rules, test routines, monitoring, and quality reports
Automation of data and regression tests
Support of business departments in UAT preparation, execution, and defect management
Involvement in go-live release, hypercare, and bug fixing
Requirements
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 working style and strong communication skills towards business departments
Certification (e.g., ISTQB) is an advantage
Fluent German and good English skills
General Framework Conditions
Workload: 50–80%
Start Date: 02.11.2026
Duration: until 31.03.2027 with option for extension (follow-up phases planned until the end of 2028)
Work Location: Greater Frankfurt am Main area (Germany)
Onsite/Remote: High onsite proportion in the first 2–3 months (3–4 days per week), then approx. 2 days onsite, rest remote
Client Interview: Availability for an interview with the client on 22 or 28.10.2026
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Required skills
- databricks
- english
- german
- test automation
- monitoring
- sql
- azure
- microsoft azure
- hypercare
- data warehouse
- pyspark
- inspection reports
- data pipelines
- istqb
- test engineer
- test strategy
- reconciliation
- data validation
- insurance sector
- defect management
- acceptance criteria
- rules engine
- great expectations
- go-live
- lakehouse
- bug fixing
- test plan
- uat support
- regression tests
- quality reports
- technical tests
- acceptance processes
- reconciliation reports
- data quality rules
- data quality framework
- data quality engineer
- test concept
- test routines
- source system
- target system
- initial load
- data tests
- databricks tests
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