Data Engineer
- Salary
- Not stated
- Level
- Mid
- Work type
- Not stated
- Visa
- Not stated
Open. First seen 6 October 2026.
The team: IT & Engineering HIRES STEADILY
This role is one of 14 open in IT & Engineering. 6 were posted in the last 30 days and the oldest in April: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (8 of 14), Kubernetes (7 of 14), Terraform (7 of 14), CI/CD (6 of 14), Docker (6 of 14), AWS (5 of 14), SQL (5 of 14)
OTHER ROLES ON THIS TEAM
- Senior Product Owner (m/f/d) posted Oct 16
- Software Engineer posted Oct 13
- Support Engineer (m/f/d) posted Oct 9
- IT Infrastructure Engineer posted Sep 30
- Infrastructure Engineer (m/f/d) posted Sep 25
- Junior Technical Operations Manager – AI & Automation (m/f/d) posted Aug 31
- Senior Product Owner (m/f/d) - Team Search posted Aug 19
- DevOps Engineer (Service Agreement) posted Aug 18
- Data Platform Engineer (m/f/d) posted Aug 7
- Senior Data Scientist (m/f/d) posted Jul 22
- Senior Data Scientist (m/f/d) posted Jul 22
- Senior Software Engineer (m/f/d) posted May 12
- Senior Software Engineer - Mobile/Android (m/f/d) posted Apr 24
From the team and dates on Flix's own job board.
About the role
Rate: 90 – 120 PLN/hour (B2B)
We are looking for an experienced Data Engineer to join Flix on a freelance/service agreement basis (B2B contract).
Scope of Services
As a Data Engineer at Flix, you can make an impact by building the data pipelines and products that power marketing budget decisions for one of Europe's fastest-growing mobility platforms and contributing to team’s expansion into marketing attribution.
About the Engagement
- Use Python, SQL, and Airflow to develop reliable data pipelines that empower marketing stakeholders with timely, actionable data
- Be a good judge of when to delegate to AI, when to trust, and when to meticulously review AI-generated work
- Ensure data quality through validation, monitoring, and clear documentation
- Participate in code reviews and contribute to engineering best practices within the team
- Collaborate with the Product Owner and team to understand marketing stakeholders' data needs and translate them into technical solutions
- Contribute to the design, optimization, and continuous improvement of scalable data pipelines and infrastructure
- Understand data products deeply enough to independently investigate data questions, spot anomalies, and explain what the numbers mean to non-technical stakeholders
About You
- 2–4 years of hands-on experience in data engineering
- Degree in Computer Science or a related field - candidates from Business or Marketing backgrounds with technical exposure are also welcome
- Solid experience with Python, CI/CD, Terraform, SQL, relational databases, and Git
- Familiar with ETL orchestration tools such as Airflow
- Naturally curious - comfortable digging into data independently to find the root cause, framing questions about data and developing deep domain expertise over time
- Communicates well and works effectively with both technical and non-technical stakeholders; fluent in English
- Preferred: experience with AWS, Docker, Kubernetes, or foundational marketing knowledge
Cooperation model
- Cooperation based on a service agreement (B2B/freelance contract), not an employment contract
- You will operate as an independent contractor, responsible for delivering agreed services and submitting invoices
- Location: open for contractors based in Poland
Salary context
67 other open postings titled Data Engineer state a salary: median USD 130,000 to USD 180,000 a year.
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