Data Platforms - Lead QA Engineer

Luxoft Poland; Poland; On-site; PLN 180,000 - 300,000; Full time

Job summary

Luxoft Poland is seeking a Technical Lead QA Engineer to drive automation strategy for data platforms, ETL processes, and backend systems. You will design and maintain test frameworks, lead adoption across teams, and ensure data quality across DWH, Data Lake, and BigData environments.

The role requires leadership experience, strong Python and Pytest skills, and hands-on API/CI/CD testing. You will collaborate with platform, infra, and ML engineers in a fast-paced, data-driven setting.

Qualifications

• Minimum 8 years in QA Automation.
• Strong Python (3+ years) and ability to write clean automation code.
• Proven Pytest experience with fixtures, parametrization, markers.
• Daily Git usage with branching, PR reviews.
• Azure DevOps for designing and automating API tests.
• Strong SQL for data validation across ETL pipelines.
• Databricks experience with actual testing (not just notebooks).
• Experience with test automation tools to build and scale frameworks.
• Understanding CI/CD processes and test integration into pipelines.
• Familiarity with data warehouses and ETL testing.
• Ability to own architecture and drive quality strategy.
• Experience collaborating with developers and mentoring teams.

Responsibilities

• Design and maintain automated test frameworks (unit, integration, end-to-end).
• Drive change: promote test automation across teams and gain stakeholder buy-in.
• Automate data quality checks for DWH, Data lake, and BigData environments.
• Create reusable test tools/packages for multiple projects.
• Automate API and backend testing (REST/gRPC).
• Run performance, scalability, and fault-tolerance tests.
• Integrate tests into CI/CD pipelines.
• Collaborate with platform, infra, and ML engineers.

Skills

QA Leadership

Python

Pytest

Git

Azure DevOps

SQL

Databricks testing

CI/CD

Data Warehousing/ETL testing

API testing

Tools

Databricks

Test automation frameworks

CI/CD tooling

Job description

We are looking for a Technical Lead QA Engineer to play a pivotal role in ensuring the quality and reliability of our data platforms. You will be responsible for developing and maintaining test automation frameworks for our data pipelines, ETL processes, and backend systems. This role offers the opportunity to work on cutting-edge technologies in a highly dynamic and collaborative environment. As a key player in test automation, you will drive quality improvement initiatives, work closely with development teams, and contribute to a shift-left approach in our data operations. You'll be at the forefront of ensuring that our data infrastructure supports global investment strategy and mission.

Responsibilities

• Design and maintain automated test frameworks (unit, integration, end-to-end),
• Driving Change and Stakeholder Engagement: Lead efforts to introduce and promote the test automation framework across teams. Drive buy-in from stakeholders and developers by demonstrating the framework's value, providing clear communication, and ensuring alignment with team goals. Help stakeholders and developers embrace automation as an integral part of the software development lifecycle,
• Automate data quality checks for platforms like Data Warehouses (DWH), Data lake, and BigData environments.
• Distribute Across Projects: Design the test tools as an individual package that can be reused in various projects, allowing multiple teams to benefit from a shared test automation solution.
• Automate API and backend testing (REST/gRPC),
• Run performance, scalability, and fault-tolerance tests,
• Integrate tests into CI/CD pipelines,
• Collaborate closely with platform, infra, and ML engineers

Mandatory Skills Description

• Minimum 8 years in QA Automation
• Strong, practical experience with Python (3+ years): Ability to write clean, maintainable automation code Ability to manage and extend automation frameworks Not just scripting — actual engineering level proficiency
• Strong, proven experience with Pytest (2+ years): Fixtures, parametrization, markers Test suite structuring
• Hands on experience with Git (daily usage): Branching strategies, PR workflows, code reviews
• Hands on experience with Azure DevOps: Ability to design and automate API tests
• Strong SQL and Python for test automation: Data validation across ETL pipelines
• Experience with Databricks (2+ years): Not just reading notebooks — actual testing experience
• Experience with test automation tools: Building, maintaining, and scaling frameworks
• Understanding of CI/CD processes: Ability to integrate tests into pipelines
• Familiarity with data warehouses & ETL testing
• Ability to own architecture & drive quality strategy
• Experience collaborating with developers
• Able to influence, challenge, and guide engineering teams
• QA leadership experience
• Leading initiatives, mentoring, driving standards
• Fast learner, adaptable to new tools & technologies