Data Engineer

Carbon Data Solutions

Warszawa

On-site

PLN 124,000 - 165,000

Full time

6 days ago
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Job summary

Flix is seeking an experienced Data Engineer on a freelance/service agreement basis (B2B) to build data pipelines powering marketing budget decisions across Europe’s mobility platform.

You will use Python, SQL, and Airflow to deliver reliable pipelines, validate data, review AI-generated work, and collaborate with Product Owner to translate marketing needs into scalable solutions.

Qualifications

  • 2–4 years of hands-on experience in data engineering.
  • Degree in Computer Science or a related field.
  • Solid experience with Python, CI/CD, Terraform, SQL, relational databases, and Git.
  • Familiar with ETL orchestration tools such as Airflow.
  • Fluent in English.

Responsibilities

  • Build data pipelines and products powering marketing budget decisions.
  • Develop reliable data pipelines using Python, SQL, and Airflow.
  • Ensure data quality through validation, monitoring, and documentation.

Skills

Data engineering
Python
SQL
Git
Airflow
CI/CD
Terraform
Relational databases

Education

Degree in Computer Science or related field

Tools

Airflow
Terraform
Git

Job description

Rate: 90 – 120 PLN/hour (B2B)

We are looking for an experiencedData 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
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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