Senior Data Engineer
⚲ Gdynia
140 - 150 PLN/h netto (B2B)
Wymagania
- ETL
- SQL Server
- S3 Storage
- APIs
- DB2
- Snowflake
- Kafka
Opis stanowiska
Responsibilities:
• Work on the first phase of enabling data sharing across different applications
• Design, build, and maintain ETL pipelines
• Develop data pipelines integrating multiple data sources and technologies
• Work with data storage solutions and databases, primarily SQL Server
• Apply data modeling principles to support efficient data processing and sharing
• Integrate data using APIs
• Work with streaming platforms such as Kafka
• Understand data structures, data flows, and the overall data landscape
• Collaborate with technical teams involved in data integration and platform development
Requirements:
• Proven experience in building ETL pipelines
• Strong knowledge of SQL Server
• Very good knowledge of SQL and database programming (PL/SQL, TSQL, or similar)
• Solid understanding of data modeling concepts
• Hands‑on experience with Kafka
• Experience working with APIs
• Good understanding of data and enterprise data landscapes
• Experience working with different data technologies and platforms
Nice to have:
• Experience with DB2
• Experience with Snowflake
• Experience with S3 storage
Offer:
• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program
• Work on the first phase of enabling data sharing across different applications
• Design, build, and maintain ETL pipelines
• Develop data pipelines integrating multiple data sources and technologies
• Work with data storage solutions and databases, primarily SQL Server
• Apply data modeling principles to support efficient data processing and sharing
• Integrate data using APIs
• Work with streaming platforms such as Kafka
• Understand data structures, data flows, and the overall data landscape
• Collaborate with technical teams involved in data integration and platform development
Requirements:
• Proven experience in building ETL pipelines
• Strong knowledge of SQL Server
• Very good knowledge of SQL and database programming (PL/SQL, TSQL, or similar)
• Solid understanding of data modeling concepts
• Hands‑on experience with Kafka
• Experience working with APIs
• Good understanding of data and enterprise data landscapes
• Experience working with different data technologies and platforms
Nice to have:
• Experience with DB2
• Experience with Snowflake
• Experience with S3 storage
Offer:
• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program
🔍 Dekoder Ogłoszenia
🔴
Work on the first phase of enabling data sharing across different applications
Projekt jest na bardzo wczesnym etapie, co może oznaczać dużo eksperymentowania i niepewności co do ostatecznego kształtu rozwiązania.
🔴
Develop data pipelines integrating multiple data sources and technologies
Może to oznaczać pracę z bardzo zróżnicowanymi, często nieudokumentowanymi lub trudnymi do integracji źródłami danych.
🔴
Understand data structures, data flows, and the overall data landscape
Oczekuje się, że kandydat sam będzie musiał odkryć i zrozumieć istniejący, potencjalnie chaotyczny krajobraz danych.
🔴
Collaborate with technical teams involved in data integration and platform development
Może oznaczać konieczność pracy z różnymi zespołami, które mają różne priorytety i mogą nie być w pełni skoordynowane.
🟡
Constant support of dedicated consultant
Może sugerować, że firma zewnętrzna jest zaangażowana w projekt, co może wpływać na procesy decyzyjne i komunikację.