Data Quality Engineer

Quick Facts

• Role: Quality Engineer (Data)

• Team: Data Engineering

• Focus: Ensuring reliability, integrity, and performance of data platforms and products

Description

You will design, develop, and maintain automated and manual test solutions to ensure data accuracy, completeness, consistency, and reliability. Working with Data Engineers, Data Designers, Data Quality Analysts, Product Owners, and other stakeholders, you will contribute to data validation and Quality Engineering practices across the software development lifecycle, including shift-left testing and continuous testing.

Responsibilities

• Build and maintain automated/manual tests for data quality (accuracy, completeness, consistency, reliability)

• Contribute to Quality Engineering standards and best practices for data platforms, pipelines, and products

• Investigate quality issues, perform root cause analysis, and help implement preventative actions

• Collaborate to understand quality requirements, identify risks, and define testing approaches

• Support quality across the SDLC, including shift-left testing, automation, and continuous testing

• Test data integration and ETL/ELT processes and data transformations to protect integrity across the data ecosystem

• Improve test coverage and integrate automated tests with CI/CD pipelines

• Explore and apply practical AI uses in Quality Engineering (test automation, validation, defect detection, efficiency)

• Continuously improve testing quality and efficiency by sharing knowledge and evaluating tools/practices

Requirements

• Practical Quality Engineering experience, ideally in Data Engineering, Big Data, or data platform environments

• Solid understanding of Quality Engineering principles and modern QA/test automation practices

• Strong SQL skills for validating datasets, transformations, and ETL/ELT pipelines

• Hands-on Python experience with exposure to PySpark and Databricks

• Experience building/maintaining automated tests and contributing to test automation frameworks

• Understanding of CI/CD and integrating automated tests into delivery pipelines

• Knowledge of cloud-based data platforms, data quality principles, and modern software engineering practices

• Strong analytical and problem-solving skills with ability to investigate and identify root causes

• Good communication and collaboration across cross-functional engineering and product teams

• Proactive continuous improvement mindset focused on reliable, high-quality data solutions

• Excellent English (written and spoken)

Benefits

• Competitive benefit package

• 12,000–22,000 PLN gross per month on an employment contract

• Private medical healthcare (including dentalcare) for you and your family

• Medicover sports card (Fit&More)

• Employer-financed life insurance

• 30-minute lunch break included in the 8-hour working day

• Training & Buddy programme

• Wellbeing programme

• Co-financing of monthly public transport tickets in Kraków

• Office comfort with possibility of home office

• Language courses, accounting courses, LinkedIn Learning, and possible co-financing of studies/certifications

• Employee referral programme