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Lead QA Automation Engineer

Luxoft โ€ข Poland

onsite
Posted Sep 1, 2026

**Role & seniority: ** Technical Lead QA Engineer (QA Automation), ~8+ years

**Stack/tools: **

  • Python (3+ yrs), Pytest (2+ yrs)

  • Git (daily), Azure DevOps (pipelines/repos/boards/test plans)

  • Backend/API testing: REST, gRPC, auth, data validation

  • Data platform: Databricks (2+ yrs), SQL, ETL testing, DWH/data lake/BigData

  • Testing: unit/integration/e2e frameworks, CI/CD integration

  • Nice-to-have: PySpark, ServiceNow, Dynatrace/Datadog, ISTQB

  • Top 3 responsibilities:

    • Build and maintain reusable automated test frameworks for data pipelines/ETL and backend systems (shift-left approach).

    • Automate data quality checks for DWH/data lake/BigData; validate data across ETL flows using SQL + Python.

    • Drive test automation adoption across projects/teams and integrate tests into CI/CD; lead quality strategy and standards.

  • Must-have skills:

    • QA Automation leadership/architecture ownership; strong stakeholder management and ability to guide teams.

    • Strong Python engineering (not just scripting) and framework maintenance/extensibility.

    • Strong Pytest (fixtures, parametrization, markers; suite structuring; framework development).

    • Hands-on Git workflows (branching/PRs/code reviews) and Azure DevOps pipelines.

    • Backend/API testing expertise (REST/gRPC), including auth and data validation.

    • Hands-on SQL for complex queries and ETL validation.

    • **Dat

Full Description

Who are we 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 โ€” actual engineering level proficiency

Strong, proven experience with Pytest (2+ years)

  • Fixtures, parametrization, markers

  • Test suite structuring

  • Framework development & maintenance

Hands on experience with Git (daily usage)

  • Branching strategies, PR workflows, code reviews

Hands on experience with Azure DevOps

  • Pipelines, repos, boards, test plans

Backend & API testing expertise

  • REST services, authentication, data validation

  • Ability to design and automate API tests

Strong SQL and Python for test automation

  • Writing complex queries

  • Data validation across ETL pipelines

Experience with Databricks (2+ years)

  • Not just reading notebooks โ€” 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
  • Familiarity with ServiceNow
  • Familiarity with Dynatrace or Datadog
  • PySpark experience
  • ISTQB or equivalent certification

Languages

English: C1 Advanced

PythonPytestGitAzure DevOpsREST APIgRPCSQLDatabricksCI/CDETL TestingData WarehouseBig DataQA AutomationTest Framework DesignBackend TestingQA Leadership

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