Lead QA Automation Engineer

Luxoft Poland; Poland; On-site; PLN 200,000 - 320,000; Full time

Benefits offered by this job

Private medical

Dental care

Life Insurance

Internal Mobility

Job summary

Luxoft Poland is seeking a Technical Lead QA Engineer to drive test automation across data pipelines, ETL processes and backend systems.

You will design scalable frameworks, lead cross-team adoption, and ensure quality by integrating tests into CI/CD and collaborating with platform, infra and ML engineers. Strong Python, Pytest, SQL and Databricks experience are essential for success.

You will mentor teams and shape testing strategy in a fast-moving data environment.

Qualifications

• Minimum 8 years in QA Automation.
• Strong Python experience (3+ years) with maintainable automation code.
• Proven Pytest experience (2+ years) with fixtures and parametrization.
• Hands-on Git with branching, PR workflows, and reviews.
• Experience with Azure DevOps and API test design.
• Strong SQL and Python for data validation in ETL.
• Experience with Databricks and data testing.
• Understanding CI/CD and test integration across pipelines.
• Ability to own architecture and drive quality strategy.
• QA leadership, mentoring, and cross-team influence.
• Fast learner, adaptable to new tools.

Responsibilities

• Design and maintain automated test frameworks (unit, integration, end-to-end).
• Drive adoption of test automation across teams and engage stakeholders.
• Automate data quality checks for DWH, Data Lake and Big Data environments.
• Distribute test tools as reusable package across 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 Automation

Python

Pytest

Git

Azure DevOps

SQL

Databricks

CI/CD

Data validation

Leadership

Tools

Databricks

Azure DevOps

REST API testing

CI/CD pipelines

Job description

Private Medical & Dental care & Life Insurance

Internal Mobility program - possibility of rotation between projects, locations, accounts

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

What is relevant to have

• 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

What is nice to have

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