Remote QA Automation Lead for Data Pipelines & ETL

Codeminders; Polska; Remote; PLN 180,000 - 300,000; Full time

Benefits offered by this job

Fully remote work setup

Flexible schedules

Relocation assistance

Bonuses and salary reviews

Career progression opportunities

Job summary

Codeminders is seeking a hands-on QA Automation Lead to own data quality and automation for a long-term project with a US-based client. You will define data testing strategies, build scalable automation frameworks, and validate data across pipelines and warehouses.

The role requires 7+ years in QA, strong Python and SQL skills, experience with data pipelines and ETL/ELT, and familiarity with Redshift/Snowflake/BigQuery.

Qualifications

• 7+ years in QA and test automation.
• Strong Python and SQL skills.
• Experience with data pipelines, ETL/ELT, data warehouses, and OLAP.
• Experience with Redshift, Snowflake, BigQuery, or similar technologies.
• Proven experience designing automation frameworks.
• Experience with CI/CD and release management.
• Practical experience with AI tools such as Cursor, Augment, or Gemini.
• Strong English communication skills.
• Candidates should currently reside in Europe or be willing and able to relocate to Europe.

Responsibilities

• Define the data testing and automation strategy.
• Build and maintain scalable automation frameworks.
• Test backend systems, data pipelines, ETL/ELT processes, and data transformations.
• Validate data using complex SQL queries.
• Integrate automated testing into CI/CD pipelines.
• Establish QA standards and review practices.
• Manage release readiness and Go/No-Go decisions.
• Use AI tools and LLMs to accelerate test creation and debugging.

Skills

QA automation

English communication

Tools

Python

SQL

ETL/ELT

CI/CD

Data warehouses (Redshift/Snowflake/BigQuery)

AI tools (Cursor/Augment/Gemini)

Job description

Codeminders is seeking a hands-on QA Automation Lead to own data quality and automation for a long-term project with a US-based client. You will define data testing strategies, build scalable automation frameworks, and validate data across pipelines and warehouses.

The role requires 7+ years in QA, strong Python and SQL skills, experience with data pipelines and ETL/ELT, and familiarity with Redshift/Snowflake/BigQuery.