Data Engineer Test Lead

Be part of our team of Data Specialists and embark on a career of the future!

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 with in the banking, financial services, or insurance industries.

AWS Business Acumen Data Extract Transform Load (ETL) Microsoft Azure Planning Power BI SQL Testing User Acceptance Testing (UAT)