Data Engineer (Azure / Databricks)

Nasze wymagania: 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+ Mile widziane: Power BI Unity Catalog Experience in enterprise-scale projects O projekcie: 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. Zakres obowiązków: 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) Oferujemy: 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