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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Validate data accuracy and ensure production readiness by working closely with the Data Engineering Manager and Analytics Engineering Lead across 18 data domains.
- Design and build a reconciliation framework to systematically compare legacy pipeline outputs against new pipeline outputs, identifying discrepancies and gaps.
- Execute structured acceptance testing for each pipeline prior to promotion to production environments.
- Validate identity resolution accuracy through rigorous analysis of match rates, false positives, and false negatives.
- Document end-to-end data lineage across all 18 domains to support auditability, transparency, and regulatory compliance.
- Build and maintain automated regression test suites to enable continuous quality assurance as pipelines evolve.
Requirements
What you’ll need- Expert-level SQL skills, with demonstrated ability to write complex queries for data validation, profiling, and reconciliation at scale.
- Experience with data quality frameworks, with preference given to candidates with hands-on Great Expectations expertise.
- Proficiency in Python for scripting automated tests, data profiling tasks, and quality checks.
- Strong background in data profiling techniques, including distribution analysis, completeness checks, and anomaly detection.
- Experience designing and executing test automation strategies in data or analytics engineering contexts.
- Ability to clearly document findings and communicate data quality issues to both technical and non-technical stakeholders.
- 3+ years of experience in Data Quality, QA, or Data Analysis roles, with proven ability to build reconciliation frameworks and execute end-to-end acceptance testing across complex data pipelines.
- English: Advanced (required for effective communication with global teams).
Benefits
Comp & perks- Every day lunches! (headquarters): Vegetarian, vegan, gluten and sugar free options.
- Gourmet meals every Friday with our on-site chef!
- Flexible working options to help you strike the right balance.
- All the equipment you need to harness your talent (Macbook and accessories).
- Snacks and beverages available everyday (headquarters).
- After office events, football, tennis and game nights (headquarters).
- Everyone is welcome to join our football league every Wednesday's and Friday's.
- Challenge your teammates to a pool game and win the office's trophy!
- Tennis courts available for friendly matches.
- Not a sports person? Don't worry, we also have chess championships, game and music nights for you to join!
- Learning opportunities: AWS Certifications (we are AWS Partners).
- Study plans, courses and other certifications.
- English Lessons.
- Learn from your teammates on our Tech Tuesdays!
- Mentoring and Development opportunities to shape your career path.
- Anniversary and birthday gifts.
- Great location and even greater teammates!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata quality frameworksGreat Expectationsdata profilingtest automation strategiesreconciliation frameworksacceptance testingdata lineageregression testing
Soft Skills
communicationdocumentationanalytical thinkingproblem-solvingcollaboration
