Senior Data Engineer / Data Engineering Lead

Awareson • IT Staffing & Staff Augmentation • 2 days a week in the office • Python • SQL • Power BI • Azure Data Factory • 20 days ago
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Salary
≈ $71k – $130k per year (Estimated)
Location
Hybrid (Warsaw, Poland)
Seniority
Staff
Employment
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First seen by Alion on Oct 4, 2026.

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Awareson

Awareson is a Poland-based IT recruitment and staff augmentation agency that specializes in sourcing top-tier technology and SAP talent. The company offers flexible engagement options - including body leasing, permanent recruitment, and managed services - to help global enterprises scale their engineering teams. By focusing on specialized technical domains like DevOps, cloud infrastructure, enterprise software, and cybersecurity, it connects international clients with vetted IT professionals across Europe.
awareson.com • HQ: Warsaw, Poland • IT Outsourcing & Dedicated Teams • Information Technology • Consumer Goods • IT Staffing & Staff Augmentation • 51-200 employees
Tech stack of Awareson

Senior Data Engineer / Data Engineering Lead

Location: Warsaw / hybrid
Employment type: B2B
Seniority: Senior / Lead
Work model: Minimum 2 days per week from the office

About the project

For our client, who is delivering a long-term project in the data & analytics area, we are looking for an experienced Senior Data Engineer / Data Engineering Lead.

You will join a team focused on Business Intelligence and reporting, where you will act as the main technical expert in data engineering. We are looking for someone who can take ownership of the data engineering area, identify technical risks and gaps, and proactively suggest improvements.

At the beginning, you will receive full support, including a clear overview of the current setup, access to the necessary documentation, and a proper onboarding into the team. Once you are up to speed, we expect you to work independently, ask the right questions, challenge existing solutions, and help the team identify things that 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.

Tech stack

  • Python
  • Azure ADF
  • Data Engineering
  • Power BI
  • Airflow
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