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Se connecterRésumé du poste
- Lieu
- Warsaw
- Date de publication
- 6 oct. 2026
- Dernière vérification à la source
- 7 oct. 2026
- Source de l'offre
- Site carrières officiel de l'entreprise
Profil recherché
• 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
Compétences
- Python
- SQL
- Data Engineering
- Airflow
- AWS
- Docker
- Kubernetes
- Terraform
- CI/CD
- Git
- Product Management
Visa et relocalisation
?L'annonce ne parle pas de visa. Vérifiez l'annonce d'origine ou demandez à l'entreprise.
?L'annonce ne mentionne pas de relocalisation.
Description du poste
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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