Lead QA Automation Engineer

Luxoft; Wrocław; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Luxoft is seeking a Technical Lead QA Engineer to lead test automation for data platforms, ETL pipelines, and backend systems. You will design and maintain automation frameworks, drive quality initiatives, and work closely with development teams to shift-left quality across data operations.

The role emphasizes building scalable test tools, API and data validation, and integrating testing into CI/CD pipelines in a collaborative, fast-paced environment.

Qualifications

• 8+ years in QA Automation.
• Strong, practical experience with Python (3+ years).
• Ability to write clean, maintainable automation code and extend frameworks.
• Strong, proven experience with Pytest (2+ years).
• Hands-on experience with Git (daily usage).
• Azure DevOps: Pipelines, repos, boards, test plans.
• Backend & API testing expertise: REST services, authentication, data validation.
• Strong SQL and Python for test automation and ETL validation.
• Experience with Databricks (2+ years).
• Experience with test automation tools and scaling frameworks.
• Understanding of CI/CD processes and pipeline integration.
• Familiarity with data warehouses and ETL testing.
• Ability to own architecture and drive quality strategy.
• Experience collaborating with developers and mentoring others.
• Fast learner, adaptable to new tools and tech.

Responsibilities

• Design and maintain automated test frameworks (unit, integration, end‑to‑end).
• Drive change and engage stakeholders to promote test automation.
• Automate data quality checks for Data Warehouses, Data Lake, and BigData.
• Create reusable test tools/packages for multiple projects.
• Automate API and backend testing (REST/gRPC), run performance tests.
• Integrate tests into CI/CD pipelines and collaborate with platform/infra/ML teams.

Skills

Python

QA Automation

Pytest

Git

Azure DevOps

REST API testing

Databricks

SQL

CI/CD

Data validation

Data warehouses

ETL testing

BigData testing

Test framework design

Leadership

Tools

PyTest

Git

Azure DevOps

Databricks

SQL

REST/gRPC testing

CI/CD pipelines

Job description

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

SKILLS

Must have

• Minimum 8 years in QA AutomationStrong, 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 proficiencyStrong, proven experience with Pytest (2+ years):- Fixtures, parametrization, markers- Test suite structuring- Framework development & maintenanceHands on experience with Git (daily usage):- Branching strategies, PR workflows, code reviewsHands on experience with Azure DevOps:- Pipelines, repos, boards, test plansBackend & API testing expertise:- REST services, authentication, data validation- Ability to design and automate API testsStrong SQL and Python for test automation:- Writing complex queries- Data validation across ETL pipelinesExperience with Databricks (2+ years):- Not just reading notebooks — actual testing experienceExperience with test automation tools:- Building, maintaining, and scaling frameworksUnderstanding of CI/CD processes:- Ability to integrate tests into pipelinesFamiliarity with data warehouses & ETL testingAbility to own architecture & drive quality strategyExperience collaborating with developersAble to influence, challenge, and guide engineering teamsQA leadership experienceLeading initiatives, mentoring, driving standardsFast learner, adaptable to new tools & technologies

Nice to have

Experience in the BSFI domainUnderstanding of the Investment Data DomainFamiliarity with ServiceNowFamiliarity with Dynatrace or DatadogPySpark experienceISTQB or equivalent certification