Senior Data Quality Engineer – Data Platforms

Kingfisher; Kraków; Hybrid; PLN 212,040 - 290,160; Full time

Benefits offered by this job

Private medical healthcare

Medicovers sports card

Life insurance

30-minute lunch break

Wellbeing programme

Public transport tickets co-financing

Home office option

Training & LinkedIn Learning

Employee referral programme

Job summary

Kingfisher is seeking a Senior Quality Engineer (Data) to join our Data Engineering team in a hybrid role based in Kraków, with 1 day per week in the office. You will drive data quality and reliability for data platforms and products, partnering with Data Engineers, Designers, and Product Owners to ensure trusted data solutions.

You will lead automated testing efforts, contribute to test strategy, and champion quality across the SDLC, leveraging tools like Databricks, dbt, and Great

Qualifications

• Extensive experience in Quality Engineering for data platforms and products.
• Strong understanding of test strategy, automation, and QA best practices.
• Excellent English communication and stakeholder management skills.

Responsibilities

• Design, implement, and maintain automated data quality checks across data architectures.
• Lead investigations of quality issues and drive root cause analysis.
• Collaborate with Data Engineers/Owners to define quality requirements and QA strategies.
• Promote quality throughout the SDLC and contribute to Agile ceremonies.
• Document test strategies, plans, and reports.

Skills

SQL

Python

PySpark

Quality engineering

Test automation

English communication

Tools

Databricks

dbt

Great Expectations

Unity Catalog

Job description

Kingfisher is seeking a Senior Quality Engineer (Data) to join our Data Engineering team in a hybrid role based in Kraków, with 1 day per week in the office. You will drive data quality and reliability for data platforms and products, partnering with Data Engineers, Designers, and Product Owners to ensure trusted data solutions.

You will lead automated testing efforts, contribute to test strategy, and champion quality across the SDLC, leveraging tools like Databricks, dbt, and Great