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Data Engineer

Flix

Skills

Required

  • Python
  • SQL
  • Airflow
  • data engineering
  • CI/CD
  • Terraform
  • relational databases
  • Git
  • ETL orchestration
  • digging into data independently
  • framing questions about data
  • AWS / Docker / Kubernetes / foundational marketing

Preferred

  • data pipelines
  • develop reliable data pipelines
  • review AI-generated work
  • validation, monitoring
  • documentation

We are looking for an experienced Data Engineer to join Flix on a f reelance/service agreement basis (B2B contract).

Responsibilities

  • 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

Requirements

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

Preferred

  • Cooperation model

Pay

Rate: 89 – 119 PLN/hour (B2B)

  • 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