Data Engineer Test Lead

PBT Group; Cape Town; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

PBT Group is seeking a Data Engineer Test Lead to shape testing strategies for data and BI solutions within a banking, financial services, and insurance context. The role supports a collaborative, hybrid environment focused on growth and technical excellence.

The candidate will own test strategy across SIT, data validation, and UAT, drive data reconciliation and quality checks, and lead a team of testers. Advanced SQL and DW knowledge are essential.

Qualifications

• 5–8 years in data and QA testing, with at least 2 years in a lead role.
• Advanced SQL skills are mandatory.
• ETL/ELT testing experience.
• Understanding of Kimball and Data Vault data warehousing concepts.
• Strong planning, data analysis, and business acumen.
• Proven ability to communicate with technical and non-technical stakeholders.

Responsibilities

• 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, ensuring source-to-target integrity and adherence to business rules.
• Build repeatable test frameworks and implement automated data quality checks where feasible.
• Manage defect logging, triage, root-cause analysis, and resolution processes.
• Lead and mentor a team of testers and QA analysts, coordinating testing resources and priorities.
• Plan and coordinate UAT activities with business users and SMEs, including scope, scenarios, execution tracking, and sign-off.
• Manage testing risks, dependencies, and readiness for go-live.
• Engage stakeholders professionally, maintaining clear communication on testing progress and quality status.
• Develop strong business acumen and credibility, contributing to overall project success.

Skills

Advanced SQL

ETL/ELT testing

Data warehousing concepts

Planning & analysis

Stakeholder communication

Job description

Are you passionate about leading testing initiatives in a collaborative environment that values technical excellence and business insight? Our client, an established organization within the banking, financial services, and insurance sectors, is seeking a dedicated Data Engineer Test Lead to join their team. This role offers the opportunity to shape testing strategies for complex data and BI solutions, working within a supportive, hybrid setting that encourages growth and innovation.

What You'll Do:

• 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, ensuring source-to-target integrity and adherence to business rules.
• Build repeatable test frameworks and implement automated data quality checks where feasible.
• Manage defect logging, triage, root-cause analysis, and resolution processes.
• Lead and mentor a team of testers and QA analysts, coordinating testing resources and priorities.
• Plan and coordinate UAT activities with business users and SMEs, including scope, scenarios, execution tracking, and sign-off.
• Manage testing risks, dependencies, and readiness for go-live.
• Engage stakeholders professionally, maintaining clear communication on testing progress and quality status.
• Develop strong business acumen and credibility, contributing to overall project success.

Duties:

• Develop and maintain comprehensive test plans and cases.
• Collaborate with technical and business teams to ensure quality standards are met.
• Lead testing efforts for data reconciliation, transformation, and validation.
• Oversee defect management and continuous improvement initiatives.

Requirements:

• 5–8 years of experience in data and QA testing, with at least 2 years in a lead or coordination role.
• Advanced SQL skills (mandatory) and ETL/ELT testing experience.
• Solid understanding of data warehousing concepts such as Kimball and Data Vault.
• Strong planning, data analysis, and business acumen skills.
• Proven ability to communicate effectively with technical and non-technical stakeholders.

Nice to Have:

Experience within the banking, financial services, or insurance industries.