Senior QA Engineer (Data)

Our requirements

• Extensive experience in Quality Engineering, ideally within a Data Engineering or Big Data environment.
• Strong understanding of Quality Engineering principles, test strategy, test automation, and quality assurance best practices.
• Advanced SQL skills, including experience writing and interpreting dbt models and dbt tests
• Working proficiency in Python and PySpark sufficient to write test harnesses, data validation scripts, and reconciliation checks against Spark DataFrames.
• Direct hands-on experience building pipelines on Databricks (notebooks, job orchestration, Delta Lake) - strongly preferred
• Experience designing and maintaining automated test frameworks and integrating automated testing into CI/CD pipelines.
• Good understanding of cloud-based data platforms and modern software development practices.
• Experience working in Agile teams and collaborating effectively with cross-functional engineering and product teams.
• Strong analytical and problem-solving skills, with the ability to investigate complex quality issues and identify root causes.
• Excellent communication and stakeholder management skills.
• Excellent command of English (written and spoken).

Optional

• Experience with Kotlin Multiplatform or similar approaches to sharing business logic across mobile platforms.

Your responsibilities

• Design, develop, and maintain automated data quality checks across the Medallion architecture (Bronze/Silver/Gold), using dbt tests, Great Expectations (or equivalent), and custom PySpark assertions to validate accuracy, completeness, consistency, and referential integrity at each layer.
• Lead the investigation of complex quality issues, perform root cause analysis, and drive preventative actions to improve product quality and engineering practices.
• Partner with Data Engineers, Data Designers, Product Owners, and other stakeholders to define quality requirements, identify risks, and implement effective quality assurance strategies.
• Drive quality throughout the software development lifecycle by actively contributing to Agile ceremonies and promoting quality engineering best practices within the team.
• Design and maintain high-quality test documentation, including test strategies, test plans, test cases, execution reports, and test closure reports.
• Validate ETL/ELT processes built on Databricks and Apache Spark, including Delta Lake table integrity, schema evolution handling, and job-level performance regression. Own Unity Catalog-level data governance checks (lineage, access control validation, table certification status) as part of the QA sign-off process.
• Champion test automation across the GitLab CI/CD pipeline, including contract testing (Pact/PactFlow) for data API/service boundaries where applicable, and drive adoption of automated DoD validation gates ahead of production deployment.
• Keep up to date with emerging trends, tools, and best practices in Quality Engineering, test automation, and modern data platforms, sharing knowledge and mentoring other team members where appropriate.
• Contribute to and maintain the QE-to-Data-Engineering skill uplift path, including SQL / dbt / PySpark / Unity Catalog proficiency benchmarks, and mentor QEs transitioning from traditional application testing into data engineering quality roles.

About the project

This is how we work on a project

• test automation

What we offer

• 19,000 - 26,000 PLN gross per month on an employment contract
• Private medical healthcare at LUXMED (including dentalcare) for you and your family
• Medicover sports card (Fit&More package)
• Life insurance financed by the employer
• 30-minute lunch break included in the 8-hour working day
• Work in a highly professional and stimulating atmosphere
• Training & Buddy programme that will allow you to quickly adapt to your new role
• Wellbeing programme for employees
• Co-financing of monthly tickets for the public transport in Krakow
• Comfortable working environment in the office and the possibility of home office
• Language courses, accounting courses, access to LinkedIn Learning and the possibility of co-financing studies and certification
• Employee referral programme

Development opportunities we offer

• mentoring
• technical knowledge exchange within the company
• the company supports open source projects

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• integration events
• dental care
• no dress code

Recruitment stages

• 1.
  Send in your application
• 2.
  Talent Acquisition team will then review your application
• 3.
  You’ll have a telephone interview/one to one conversation
• 4.
  You’ll be invited to a face to face or virtual interview
• 5.
  Recruiter will be in touch with feedback and next steps

Kingfisher