Lead QA Automation Engineer

Luxoft; Poland; On-site; PLN 210,000 - 290,000; Full time

Job summary

DXC Luxoft is seeking a Technical Lead QA Engineer to drive automation strategy for data platforms. You will design and maintain automated test frameworks (unit, integration, end-to-end) and automate data quality checks across DWH, Data lake, and BigData, while integrating tests into CI/CD pipelines.

Collaboration with platform, infra, and ML teams is essential. The role demands 8+ years in QA Automation with strong Python, Pytest, SQL, and automation tooling capabilities across data engineering

Qualifications

• Minimum 8 years in QA Automation.
• Strong, practical experience with Python (3+ years).
• Strong, proven experience with Pytest (2+ years).
• Hands on experience with Git (daily usage).
• Hands on experience with Azure DevOps.

Responsibilities

• Design and maintain automated test frameworks (unit, integration, end-to-end).
• Drive Change and Stakeholder Engagement: promote the framework across teams.
• Automate data quality checks for Data Warehouses, Data lake, and BigData.
• Distribute tools as reusable package across projects.
• Automate API and backend testing (REST/gRPC); run performance tests.
• Integrate tests into CI/CD pipelines; collaborate with platform/infra/ML teams.

Skills

Python

Pytest

SQL

CI/CD

Databricks

Automation Tools

Git

Leadership

Tools

Azure DevOps

REST API Testing

Job description

DXC Luxoft is a global IT services and consulting company, part of DXC Technology, delivering cutting-edge digital and software solutions worldwide. We partner with leading financial institutions and global enterprises, helping them transform and scale through modern technology.

Join a global community of engineers and be part of building impactful, modern technology solutions!

Project 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

Nice-to-Have Skills Description:

• Experience in the BSFI domain
• Understanding of the Investment Data Domain