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Senior Test & Data Quality Engineer (Azure Databricks)

Callista · Frankfurt, Deutschland, Germany · Hybrid · Senior

  • Frankfurt, Deutschland, Germany · Hybrid
  • 6 Monate
  • German

Indexed (3 weeks ago) · refreshed constantly

Start
2026-11
Duration
6 Monate
Work mode
Hybrid
Contract
Freelance / B2B
Seniority
Senior
Reference
3056987

Required skills

Nice to have:pytestGreat Expectations

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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