Senior Data Quality Engineer (SDET)

Quick Facts

• Role: Senior Data Quality Engineer (SDET) focused on data quality and pipeline validation
• Project context: Migration of data and reporting from legacy systems to a modern platform using Databricks and Microsoft Fabric

Description

Quality engineering is central to the migration, with the goal of ensuring migrated data reconciles with the source, pipelines behave as specified, and reports produce consistent results. You will build automated validation for data pipelines and data products, own source-to-target reconciliation testing, and add quality gates in the delivery pipeline so failures block releases. This is a data-focused testing role, not application UI testing.

Responsibilities

• Design and implement data testing and quality assurance frameworks
• Build automated validation for data pipelines and data products
• Own source-to-target reconciliation between legacy systems and the new platform
• Build repeatable regression packs that run unattended
• Write unit tests that execute automatically within CI/CD, with quality gates that can block a release
• Detect and handle schema drift and unexpected structural changes
• Validate reports, dashboards, and semantic models (measure definitions, filter behavior, totals)
• Use AI-assisted techniques to generate tests and analyze test coverage, with human review

Requirements

• 5+ years of experience in quality engineering, with recent experience testing data or ETL processes (not applications)
• Strong Python and SQL for building test automation
• Experience with pipeline validation: row counts, control totals, referential integrity, business rule assertions
• Experience with source-to-target reconciliation using defined tolerances
• Experience with test automation within CI/CD, including gates that block a release
• Experience with Azure DevOps
• Experience with SQL Server
• English proficiency suitable for direct client conversations

Benefits

• Up to 26 business vacation days per year
• 10 illness/special days off per year (fully paid)
• Health and life insurance (Luxmed)
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms (O’Reilly, LinkedIn Learning, Udemy) and a catalog of internal training
• Flexible workplace: office, home, or hybrid
• Tech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Fully paid idle time (bench) when not assigned to a project
• Certification reimbursement (AWS, GCP, Microsoft, etc.)