We are looking for an experienced Data Engineer to join Flix on a freelance/service agreement basis (B2B contract).
Czego oczekują
2–4 years of hands-on experience in data engineering
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 · mile widziane
Więcej szczegółów i pełny opis
Z ogłoszenia
“Degree in Computer Science or a related field - candidates from Business or Marketing backgrounds with technical exposure are also welcome”
Wspomniane umiejętności
Reliability & punctuality
Python
SQL
Uprawnienia do pracy
Dodaj obywatelstwo, aby sprawdzić
Poland · EU · Tylko wskazówki, nie porada prawna. Sprawdź oficjalne źródła w swojej sytuacji.
Pełny opis
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
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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