Senior Data Engineer with AI experience
⚲ Warszawa
30 240 - 33 600 PLN netto (B2B)
Wymagania
- Azure
- Databricks
- PySpark
- CI/CD
- AI
- MS Fabric
Opis stanowiska
PROJECT INFORMATION:
Remote work: 100%Project language: English
Business trips: once/year to Denmark
Project length: 6 months contracts + prolongations (long-term cooperation on this specific project)
Start: 03.08.2026
Assignment type: B2B
Summary:
The role of the Senior Data Engineer is critical for driving long-term growth and supporting the company’s shift towards climate neutrality by developing and maintaining industry-leading data platforms and products. The engineer will be responsible for enhancing the data infrastructure, thereby providing valuable insights that guide future improvements.
Responsibilities:
• Developing and maintaining data pipelines to deliver value.
• Reviewing team members' code and providing constructive feedback.
• Communicating technical trade-offs to team members and architects.
• Writing effective documentation for processes and systems.
• Managing and reducing technical debt in the data systems.
Must Haves:
• Strong experience in building scalable data platforms on Azure, preferably with Databricks and Microsoft Fabric.
• Hands-on experience with production PySpark data pipelines.
• Experience with CI/CD and modern engineering practices.
• Ability to communicate proactively within a cross-functional team.
• Familiarity with AI tools used in daily development.
Nice to Have:
• Interest in data science and machine learning.
Remote work: 100%Project language: English
Business trips: once/year to Denmark
Project length: 6 months contracts + prolongations (long-term cooperation on this specific project)
Start: 03.08.2026
Assignment type: B2B
Summary:
The role of the Senior Data Engineer is critical for driving long-term growth and supporting the company’s shift towards climate neutrality by developing and maintaining industry-leading data platforms and products. The engineer will be responsible for enhancing the data infrastructure, thereby providing valuable insights that guide future improvements.
Responsibilities:
• Developing and maintaining data pipelines to deliver value.
• Reviewing team members' code and providing constructive feedback.
• Communicating technical trade-offs to team members and architects.
• Writing effective documentation for processes and systems.
• Managing and reducing technical debt in the data systems.
Must Haves:
• Strong experience in building scalable data platforms on Azure, preferably with Databricks and Microsoft Fabric.
• Hands-on experience with production PySpark data pipelines.
• Experience with CI/CD and modern engineering practices.
• Ability to communicate proactively within a cross-functional team.
• Familiarity with AI tools used in daily development.
Nice to Have:
• Interest in data science and machine learning.
🔍 Dekoder Ogłoszenia
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long-term cooperation on this specific project
Chociaż projekt jest długoterminowy, umowy są zawierane na 6 miesięcy, co oznacza potencjalną niepewność zatrudnienia.
🔴
Familiarity with AI tools used in daily development
Może oznaczać zarówno wykorzystanie gotowych narzędzi AI do usprawnienia pracy, jak i potrzebę tworzenia lub integracji rozwiązań AI.
🔴
Managing and reducing technical debt in the data systems
Może oznaczać, że systemy są już obciążone długiem technicznym, który trzeba będzie aktywnie rozwiązywać.
🟡
Ability to communicate proactively within a cross-functional team
Oczekuje się od kandydata inicjatywy w komunikacji i aktywnego rozwiązywania problemów, a nie tylko reagowania na polecenia.
🟡
Interest in data science and machine learning
To bardziej sugestia niż wymaganie, ale może oznaczać, że firma planuje rozwój w tym kierunku i szuka kogoś, kto mógłby się tym zająć w przyszłości.