Technical Lead, QA Automation for Data Platforms

Luxoft Poland; Poland; On-site; PLN 180,000 - 250,000; Full time

Benefits offered by this job

Stable contract

LuxMed health

Life and travel insurance

MyBenefit program

Employee Assistance Program

Car rental

Job summary

Luxoft Poland is seeking a Technical Lead QA Engineer to own automation strategy for data platforms. You will design and maintain scalable test frameworks, automate data quality checks across ETL pipelines, and drive adoption across teams while collaborating with platform, infra, and ML engineers.

The role emphasizes shift-left quality, leadership, and mentoring, with hands-on engineering and strong SQL/Python test automation experience in data environments.

Qualifications

• Minimum 8 years in QA automation.
• Python automation experience (3+ years).
• Proficient with Pytest (2+ years).
• Hands-on Git daily usage.
• Azure DevOps for API testing.
• SQL & Python for data validation in ETL.
• Databricks testing experience (2+ years).
• Experience with test automation tools for building, maintaining, scaling frameworks.
• Understanding of CI/CD processes and test integration.

Responsibilities

• Design and maintain automated test frameworks (unit, integration, end-to-end).
• Lead efforts to promote the test automation framework across teams and drive 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 Automation

Python

Pytest

Git

Azure DevOps

SQL

Databricks

CI/CD

Leadership

Mentoring

Tools

Databricks

Job description

Luxoft Poland is seeking a Technical Lead QA Engineer to own automation strategy for data platforms. You will design and maintain scalable test frameworks, automate data quality checks across ETL pipelines, and drive adoption across teams while collaborating with platform, infra, and ML engineers.

The role emphasizes shift-left quality, leadership, and mentoring, with hands-on engineering and strong SQL/Python test automation experience in data environments.