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Senior Data Engineer designs, builds, and maintains cloud-based data platforms (Azure/AWS, Lakehouse, Databricks) using SQL, Python, and ETL tools, focusing on analytics environments and dimensional modeling.
Build and maintain data pipelines and AI-driven analytics on Arla’s Azure Databricks lakehouse to deliver insights that guide business decisions using PySpark, SQL, and Terraform.
Builds back-end data models and pipelines for IoT, workplace safety, finance, and ESG reporting using Azure, Databricks, PySpark, and Power BI.
Senior Data Engineer builds and optimizes Databricks Lakehouse pipelines for scalable data platforms, collaborating with teams to implement best practices and mentor colleagues.
Build and maintain enterprise data pipelines and products on Microsoft Fabric/Azure to power analytics, automation, and AI at a global healthcare engineering firm.
Senior Data Engineer builds and maintains a Databricks-based lakehouse on Azure, designing ETL pipelines and Delta Lake tables to power analytics and decision-making across Copenhagen Airports.
Senior Data Engineer building scalable data foundations for clinical decision-making, integrating diverse data sources and enabling AI-driven insights across drug development at a global healthcare leader.
Build and maintain scalable data pipelines for IoT telemetry using PySpark, Airflow, and Iceberg on AWS, ensuring high-quality data for analytics and billing in a clean-cooking fuel company.
Senior Data Engineer to migrate finance cost allocation from Alteryx/SQL Server to Databricks, replacing legacy workflows with PySpark pipelines and SAP HANA sources.
Build and maintain a real-time data platform for a DeFi/crypto trading firm, designing scalable pipelines and lakehouse architectures to unify analytics across trading, risk, finance, and research.
Builds and maintains BI back-end pipelines using Azure, Databricks, and PySpark to deliver clean, structured data for analytics and decision-making across the Aarsleff Group.
Senior Data Engineer at Schneider Electric builds and operates event-driven streaming pipelines (Kafka, Flink) for a cloud-based DCIM SaaS product, shaping scalable data architectures and ensuring reliability and governance.
Build and optimize a Databricks-based Lakehouse platform for a multi-channel retail business, transforming raw data into scalable, business-ready insights using PySpark, Delta Lake, and Unity Catalog.
Build and maintain scalable data pipelines and cloud infrastructure to power AI-driven merchandising decisions for a global fashion retail group.
Design and build scalable data pipelines and AI-ready data products using Python, SQL, and cloud platforms to power analytics and machine-learning use cases in regulated enterprise environments.
Lead the design and build of a modern, scalable data platform for a biotech company using AWS and Databricks, enabling scientists and teams to access and analyze data for drug discovery.
Build and maintain Databricks-based data pipelines and models to turn airport operations data into insights that guide decisions and innovation.
Design and operate scalable AWS-based data pipelines and platforms to power analytics and AI products, using Python, Scala, Spark, and Flink.
Build and maintain scalable data pipelines and products on Databricks using Python, PySpark, and SQL to support business decisions and data governance.
Senior Data Engineer builds and optimizes Databricks-based ETL pipelines and dimensional models to power analytics and decision-making across Copenhagen Airports.
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