Senior Data Engineer (Azure, Databricks)

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Description

Senior Data Engineer (Azure, Databricks) Build Azure and Databricks data pipelines and migrate legacy data for the financial services arm of a global automotive company. 100% onsite in Wrocław, up to 165 PLN/h net. About the Offer We are currently looking for a Senior Data Engineer to join an innovative data team at our client, the financial services (captive finance) arm of a global automotive company. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us. You will build and optimise ETL pipelines in the Azure and Databricks ecosystem, migrate data from legacy systems to next-generation platforms, ensure data quality and work with cross-functional teams to deliver actionable insights. Key Details: Rate: up to 165 PLN/h net + VAT Work Model: B2B contract, full-time (40 h/week), 100% onsite Location: Wrocław Language: English (C1) Responsibilities Extract, combine, transform, load and cleanse data from various sources to deliver high-quality datasets for analysis, including migration from legacy systems Work with data modellers and business analysts to understand the data model and source-to-staging mapping Create analysis-ready data structures, including DDLs for MS Cloud SQL Server tables and views in the Pond database (a subset of the Data Lake) Design and develop Databricks notebooks that extract data from input files and join related entities into Shared File Formats (SFFs) Configure Ingesti

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