Senior Data QA Engineer

Quick Facts

• Role: Senior Data QA Engineer (Automation Engineer in Test)

• Team: Small agile team with SEITs, DevOps Engineers, and Data Engineers

• Focus: Automated validation for ETL, Big Data, APIs, and databases (Databricks-heavy)

Description

Design, build, and maintain data and reporting validation to ensure high-quality delivery in an agile environment. You will test and develop integration-layer changes so user stories meet quality standards, and build automated test frameworks for ETL, Big Data, API, and database validations. You’ll collaborate across cross-functional Agile teams to perform test analysis and drive quality.

Responsibilities

• Design, build, and maintain data and reporting solutions using modern technologies

• Test and develop integration-layer changes to ensure user stories meet quality standards

• Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations

• Perform comprehensive test analysis and collaborate with cross-functional Agile teams

Requirements

• 3+ years of demonstrated experience with validation in Databricks

• In-depth experience developing and maintaining automated test suites

• Proficiency in Python (preferred) and SQL

• Hands-on expertise with BDD, Hybrid, PyTest, and Allure

• Strong skills in database, ETL, Big Data, and API validations

• Experience with CI/CD tools (Jenkins, GitHub Actions) and source control (Git)

• Familiarity with AWS infrastructure and storage technologies (AWS, Databricks, S3, DynamoDB, Delta Lake, SQL)

• Solid background working in Agile ways of working

Benefits

• Up to 26 business days of vacation per year

• 10 illness/special days off per year (fully paid, no medical papers needed)

• Health and life insurance (Luxmed)

• MyBenefit platform with Multisport option

• Internal psychological support service

• English language classes from the first working day

• Access to external learning platforms (O’Reilly, LinkedIn Learning, Udemy) and a wide catalog of internal training

• Flexible workplace: work from the office, from home, or hybrid

• Tech Skills Mentoring Program

• Opportunities to develop as a public speaker, mentor, or technical interviewer

• Fully paid idle (bench) when not involved in a project

• Certification reimbursement (AWS, GCP, Microsoft, etc.)