Dataingenjör (Azure & Databricks)
Core
Design, develop, and maintain scalable data pipelines and ETL processes using Azure and Databricks to enable reliable analysis and reporting for a client's Asset Analytics Distribution team.
Role type
Data Engineer
Builds
Scalable data pipelines, ETL processes, semantic models, and Power BI reports
Domain
Technology / Data Engineering
Required skills
Microsoft Azure, Databricks, SQL, Python, CI/CD, data warehousing, data modeling, ETL concepts, Power BI, Azure DevOps, Azure Storage Explorer
Preferred skills
Experience handling large data volumes (tables with billions of rows)
Technologies
Azure, Databricks, SQL, Python, Power BI, Azure DevOps, Azure Storage Explorer
Responsibilities
Design, develop, and maintain scalable data pipelines and ETL processes; Ingest, transform, and model data from various sources; Develop semantic models and create Power BI reports; Perform data quality controls to ensure data integrity and security; Document and communicate data engineering processes and results; Support data literacy and training initiatives within the organization; Collaborate with business stakeholders to understand requirements and deliver effective data solutions
Seniority
Mid-Senior (6–9 years experience)
