Senior Data Engineer - Azure Databricks

Lokation: København

On behalf of a client in the pharmaceutical industry, we are looking for a Senior Data Engineer to support the development and operation of a data platform for regulated labeling and eLabel data. The consultant will build scalable data pipelines and data products in an Azure Databricks Lakehouse environment, with a strong focus on data quality, governance, traceability and reliable data processing. Main Responsibilities Develop and maintain data pipelines using Azure Databricks, Python/PySpark, Spark SQL and Delta Lake Build solutions following Bronze → Silver → Gold medallion architecture Ingest and process data from APIs, JSON/files, Azure Storage and enterprise systems Implement data quality, validation, reconciliation and automated testing Handle schema enforcement/evolution, metadata and data lineage Optimise pipeline performance, partitioning and scalability Implement CI/CD, monitoring, error handling and reprocessing Ensure traceability, auditability and reproducibility of regulated data pipelines Key Requirements Strong hands-on Azure Databricks engineering experience Strong Python/PySpark, Spark SQL and Delta Lake Deep experience with Bronze → Silver → Gold medallion architecture ADLS Gen2 / Azure Storage Databricks Workflows / Jobs Unity Catalog and data governance API-based data ingestion and export Data quality, validation and automated testing CI/CD for Databricks notebooks/code Experience building data pipelines in regulated environments Experience with metadata and references to document/PDF assets Delta Live Tables / Lakeflow is an advantage Other Details Location: Greater Copenhagen Duration: 1/10/2026 - 31/03/2026 Allocation: 37 hours/week

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