Data Engineering Test Lead

SUMMARY:
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POSITION INFO:
To lead the quality assurance and testing of data pipelines, ETL\/ELT processes and reporting solutions, ensuring data is accurate, reliable and fit for business use. The role blends hands-on data\/SQL testing with test leadership, UAT coordination and structured stakeholder engagement across Business, SMEs and technical teams.   Key Responsibilities 1.       Testing & Data Quality Define and own the test strategy across SIT, data validation, regression and UAT for data and BI solutions. Design and execute data reconciliation, validation and quality checks (source-to-target, row counts, transformation logic, business rules). Build repeatable test frameworks and automated data quality checks where possible. Manage defect logging, triage, root-cause analysis and resolution tracking.   2.       Leadership & Coordination Lead and mentor a small team of testers \/ QA analysts; coordinate testing resources and priorities. Plan and coordinate UAT with business users and SMEs — scope, entry\/exit criteria, scenarios, execution tracking and business sign-off. Manage testing risks, dependencies and readiness for go-live.   3.       Stakeholder Engagement Engage Business, Internal teams and SMEs in a structured, professional manner. Define test cases and communicate quality status clearly to non-technical stakeholders. Build credibility and a “big picture” business acumen — not just query-writing.   Minimum Requirements Qualification: Bachelor’s degree\/diploma in Computer Science, Information Systems, Engineering or related (or equivalent experience) Experience: 5–8 years in data\/QA testing, with 2+ years in a lead\/coordination role Core Technical: Advanced SQL (mandatory), ETL\/ELT testing, data warehousing concepts (Kimball\/Data Vault) Testing: Domain: Short-term insurance \/ financial services exposure highly advantageous Cloud \/ Tooling: Exposure to Azure \/ AWS \/ Snowflake, Power BI \/ Qlik; test\/automation tools an advantage   Advantageous \/ Nice-to-Have Guidewire, TIA or similar insurance platform data structures Python for test automation \/ data validation Experience in cloud migration or Medallion architecture initiatives ISTQB or similar testing certification   Key Strengths (Ideal Candidate) Strong SQL and data-testing capability with a quality-first mindset Proven test leadership and UAT coordination Structured stakeholder engagement and business acumen — commands respect and sees the bigger picture Analytical, methodical problem-solver who can bridge business and technology * In order to comply with the POPI Act, for future career opportunities, we require your permission to maintain your personal details on our database. By completing and returning this form you give PBT your consent * If you have not received any feedback after 2 weeks, please consider you application as unsuccessful.