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September 9, 2026

Senior Data Engineer / Data Engineering Lead

Senior • On-site

180 - 230 PLN/yr

Warsaw, Poland

Quick Facts

  • Senior Data Engineer / Data Engineering Lead
  • Warsaw (hybrid; minimum 2 days per week from the office)

Description

Join a long-term data & analytics project focused on Business Intelligence and reporting. You will act as the main technical expert in data engineering, taking ownership of the data engineering area, identifying technical risks and gaps, and proactively suggesting improvements. After onboarding, you are expected to work independently, challenge existing solutions, and help the team identify what may be missing.

What you’ll do

  • Take technical ownership of the data engineering area
  • Build and improve data pipelines, transformations, and data models
  • Analyse existing solutions and identify technical gaps, risks, and improvement opportunities
  • Troubleshoot issues end to end — from source systems to the reporting layer
  • Collaborate with Power BI Developers, architects, and stakeholders
  • Provide technical guidance to BI developers and help the team make better technical decisions
  • Ensure the quality, stability, and continuous improvement of the data environment

Requirements

  • Several years of experience in data engineering, including strong practical knowledge of SQL and data modelling
  • Hands-on experience with Python or a similar programming language
  • Experience with Azure Data Services, Azure Data Factory (ADF), and/or Airflow
  • Good understanding of Power BI and reporting environments
  • Strong problem-solving and troubleshooting skills across different layers of a data solution
  • Ability to work independently and take ownership
  • Proactive mindset and willingness to challenge existing solutions
  • Strong communication and collaboration skills

What do we mean by “Lead”?

You will not manage a separate data engineering team. You will be a hands-on Data Engineer within a BI-focused team, bringing your expertise, taking ownership of the data engineering area, and helping the team make better technical decisions.

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