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Africonology

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Data Engineering Test Analyst

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Summary

Leads quality assurance for data platforms: owns the test strategy across SIT, data validation, regression and UAT, performing hands-on SQL-based source-to-target, reconciliation and transformation testing of ETL/ELT pipelines and BI/reporting solutions, while mentoring testers and coordinating UAT with business stakeholders.

Data Engineering Test Analyst

Location

Western Cape, Cape Town

Job Type

Contract – Full-Time hours

Job Description

Our Client is seeking a Data Engineering Test Analyst to lead the quality assurance and testing of data pipelines, ETL/ELT processes and BI/reporting solutions, ensuring data is accurate, reliable and fit for business use. The role combines hands-on SQL/data testing, test leadership, UAT coordination and stakeholder management.

A strong data-testing professional with advanced SQL capability, proven test leadership and UAT experience. Must be analytical, quality-focused and capable of bridging business and technology while maintaining a strong understanding of the broader business context.

Key Responsibilities

  • Own the test strategy across SIT, data validation, regression and UAT.
  • Perform source-to-target validation, reconciliation, row-count checks, transformation testing and business-rule validation.
  • Develop repeatable test approaches and automated data-quality checks.
  • Manage defects, triage, root-cause analysis and resolution tracking.
  • Lead and mentor testers and coordinate testing priorities and resources.
  • Plan and manage UAT, including scope, scenarios, entry/exit criteria, execution and business sign-off.
  • Manage testing risks, dependencies and go-live readiness.
  • Engage effectively with Business, SMEs and technical teams.
  • Provide clear reporting on quality, coverage, defects and testing status.

Requirements

  • Bachelor’s degree/diploma in Computer Science, Information Systems, Engineering or related field, or equivalent experience.
  • 5–8 years’ experience in QA/data testing, including 2+ years in a Test Lead or coordination role.
  • Advanced SQL skills.
  • Strong ETL/ELT and data warehouse testing experience.
  • Understanding of Kimball and/or Data Vault concepts.
  • Experience with SIT, regression and UAT.
  • Financial services or short-term insurance experience is advantageous.
  • Exposure to Azure, AWS, Snowflake, Power BI or Qlik.

Advantageous

  • Guidewire, TIA or similar insurance platform experience.
  • Python for test automation and data validation.
  • Cloud migration or Medallion Architecture experience.
  • ISTQB or equivalent testing certification.

Key Skills

  • SQL
  • ETL/ELT Testing
  • Data Warehousing
  • Data Validation
  • SIT
  • UAT
  • Test Strategy
  • Defect Management
  • Test Leadership
  • Stakeholder Management

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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