Data Engineer (Azure / Databricks)
📝 Twój zakres obowiązków
Your responsibilities, Design and develop scalable data pipelines using Databricks, PySpark, Python, and SQL, Build and maintain ETL/ELT workflows (Azure Data Factory), Work with modern data architectures (Data Lake / Lakehouse), Integrate and transform data from multiple sources, Collaborate with business and technical stakeholders, Participate in CI/CD processes for data workflows, Support data modeling and analytics integration (e.g. Power BI)
2–6 years of experience in Data Engineering, Strong experience with: Databricks ecosystem; PySpark & SQL, Experience with: Azure Data Services (ADF, Storage, SQL DB); Data modeling and ETL/ELT design, Understanding of Lakehouse / Medallion architecture, Experience with CI/CD (Git, Azure DevOps), Strong communication and stakeholder management skills, English level: B2+
Optional, Power BI, Unity Catalog, Experience in enterprise-scale projects
This is how we work on a project, Continuous Deployment, Continuous Integration, DevOps
What we offer, Work in a hybrid model (Warsaw office), Opportunity to join a large-scale, global data project, Modern cloud-based tech stack, Stable contract with extension, Fast onboarding process
Benefits, sharing the costs of sports activities, life insurance
ITEAMLY SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ, As Venture Building, we create profitable technology companies from scratch. We collaborate with partners who share similar aspirations and are open to leveraging the potential of their networks, cultivated over years. We regularly launch new projects founded on long-term, amicable relationships with our associates.
About the project
We are looking for a Data Engineer (mid-level) to support the development of a modern data platform in Azure. This role combines hands-on engineering with collaboration in a client-facing environment.
⚙️ Praktyki developerskie
This is how we work on a project, Continuous Deployment, Continuous Integration, DevOps
📝 Opis główny / Wstęp
About the project
We are looking for a Data Engineer (mid-level) to support the development of a modern data platform in Azure. This role combines hands-on engineering with collaboration in a client-facing environment.
Your responsibilities
- Design and develop scalable data pipelines using Databricks, PySpark, Python, and SQL
- Build and maintain ETL/ELT workflows (Azure Data Factory)
- Work with modern data architectures (Data Lake / Lakehouse)
- Integrate and transform data from multiple sources
- Collaborate with business and technical stakeholders
- Participate in CI/CD processes for data workflows
- Support data modeling and analytics integration (e.g. Power BI)
🎁 Co oferujemy (Dodatkowe detale)
Benefits, sharing the costs of sports activities, life insurance
ITEAMLY SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ, As Venture Building, we create profitable technology companies from scratch. We collaborate with partners who share similar aspirations and are open to leveraging the potential of their networks, cultivated over years. We regularly launch new projects founded on long-term, amicable relationships with our associates.
About the project
We are looking for a Data Engineer (mid-level) to support the development of a modern data platform in Azure. This role combines hands-on engineering with collaboration in a client-facing environment.