Senior Data Engineer

WFH - Europe, Poland

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reference
Job reference 1260166
location
Location WFH - Europe, Poland
sector
Sector IT
function
Function IT & Telecoms
type
Employment type Contract
date
Date published June 20, 2025
Senior Data Engineer


Job Type: Contract
Location: Remote
Start date: ASAP
End date: 31/08/2025
Recruiter: Ariane Lima

Key words: Data Engineering, ETL, Data Pipelines, AWS, Python, APIs, , SQL, Continuous Integration, SDLC, Cloud-Based Workflows, Big Data, Code Review, Mentoring
We’re looking for a Data Engineer with solid hands-on experience in building and optimizing data pipelines, working with AWS tools, and enabling data-driven decision making across teams. You’ll play a key role in designing scalable cloud-based ETL workflows, integrating large datasets, and collaborating with cross-functional teams.
Responsibilities
  • Design, implement, and improve all aspects of the data pipeline, from ingestion through analysis to visualization, to bring the right data to the right internal customers.
  • Work cross-functionally with other teams at our Customer to ensure the data pipeline (including on the cloud) serves the various internal and external customers of Customer data.
  • Help to advise the Engineering teams on how to approach data engineering and analytics, and be an advocate for data-driven decision making at all levels of Customer by providing data tools that are clean and reliable.
  • Work with the team to understand and prioritize development and sustainment projects and drive toward a product that meets all customer, business, and technical expectations.
  • Collaborate and mentor other junior data engineering team members and participate in peer design and code reviews.
Requirements
  • Demonstrated experience creating automated, reproducible data pipelines and working with complex, large data sets.
  • 4+ years working in Data Engineering.
  • 1 or more years experience working with and integrating AWS tools such as Lambda, Athena, API Gateway, Batch, Glue, and RDS.
  • Experience with Big Data technologies such as Data Warehouses or Data Lakes.
  • Experience with relational databases.
  • Experience creating cloud-based ETL workflows.
  • Proficient in Python.
  • Comfortable working with APIs to access data from a variety of sources.
  • Experience with the software development life cycle, modern software/hardware/system testing methods, and continuous integration.
  • Self-motivated and able to identify and fix issues before they become blockers.
  • Excellent written and verbal communication skills.
  • Strong analytical, curious mindset.
Unlock your potential with Airswift. Apply now!
About Airswift
Airswift is a global workforce solutions provider specializing in the engineering and technology sectors. With operations spanning over 70 countries, we boast a talent pool of over 9,000 contractors and 1,000 employees. Our unparalleled reach and expertise are unmatched in the industry. Learn more about Airswift at https://www.airswift.com/blog.

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