About the project:
The Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers, and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible.
The Client is embarking on an exciting and challenging transformation program, and our software solutions are a driving force behind this strategy, using cloud computing and leading-edge design patterns.
Key Responsibilities
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Define and implement data quality rules across ingestion, transformation, and reporting layers
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Validate data in Databricks-based pipelines
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Monitor and test Databricks transformations (PySpark/SQL) for correctness and completeness
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Ensure Databricks / Power BI reports reflect accurate and reconciled data
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Set up data validation checks (schema, nulls, duplicates, ranges, referential integrity)
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Identify, log, and track data quality issues with root cause analysis
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Collaborate with data engineers and analysts to fix issues
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Build automated data quality monitoring and alerts
Required Skills
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4-5+ years of Relevant work experience in data analysis, quality assurance, data governance, or a similar field is highly desirable.
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Strong knowledge of Databricks / Spark (SQL, PySpark)
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Understanding of ETL/ELT pipelines and data transformations (dbt)
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Experience validating BI/reporting outputs (Power BI preferred)
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SQL proficiency for data validation and reconciliation
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Familiarity with data quality frameworks/tools (e.g., Great Expectations is a plus)
Nice to Have
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Experience with AWS data stack
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Experience with data governance or data catalog tools
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Exposure to CI/CD for data pipelines
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Knowledge of data lineage and observability tools
Success Criteria
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Reduced data defects in pipelines and reports
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Automated data quality checks are in place
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Clear visibility and tracking of data issues
We offer:*
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Flexible working format - remote, office-based or flexible
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A competitive salary and good compensation package
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Personalized career growth
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Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
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Active tech communities with regular knowledge sharing
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Education reimbursement
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Memorable anniversary presents
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Corporate events and team buildings
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Other location-specific benefits
*not applicable for freelancers