Data Engineer

Flix • English: C1 • Bachelor's Degree • Python • SQL • ETL/ELT • 6 days ago
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Location
In office (Warsaw, Munich)
Seniority
Junior · 2+ years exp
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 6, 2026. Flix scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Flix

Flix is a Munich-based travel technology and mobility company that runs the FlixBus intercity coach network and FlixTrain rail services, selling tickets online and through its app. Founded in 2011, it works with regional bus partners who operate its green-branded coaches across Europe and the Americas, and it owns Greyhound in the United States, with tech and service hubs in Berlin, Gurgaon and other cities. It hires software, data and HR technology analysts, people partners and HR operations specialists, customer support staff, project managers and network and operations roles.
flix.com • HQ: Munich, Germany • Travel Technology • Public Transport • 501-1000 employees • Est. 2011
Tech stack of Flix

We are looking for an experienced Data Engineer to join Flix on a f reelance/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 

Callibration 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 

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