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Senior Engineering Manager leading cross-functional teams to build and scale AI and data platforms. The role focuses on delivering scalable solutions for real-time visibility and automated workflows while ensuring engineering quality, reliability, and cost efficiency within enterprise cloud environments.
Senior Data Engineer at Maersk's Data & AI organization in Copenhagen, designing, building, and operating scalable data pipelines, governed datasets, and self-service analytics that power insights and AI-enabled decision making across the company.
Senior Data Engineer at Maersk designs, builds, and operates scalable batch/streaming data pipelines, governed data products, and analytics foundations using SQL, Python, PySpark, cloud data platforms, and orchestration tooling — enabling BI, self-service analytics, and AI/ML use cases across the enterprise.
Design, build, and scale AI-driven data applications across enterprise platforms, bridging data engineering, platform development, and AI to deliver end-to-end solutions from data pipelines to intelligent services using CI/CD and DevOps practices.
Build and scale AI-driven applications, data pipelines, and backend services at Maersk in Copenhagen, working across data engineering, platform development, and agentic AI using Python/Java, cloud platforms, and CI/CD.
Build and maintain scalable data pipelines and models on Microsoft Fabric to support financial and operational reporting, integrating sources like Databricks and ERP systems.
Builds and maintains scalable data pipelines and models on Microsoft Fabric/Databricks to support logistics operations, ensuring data governance and performance for business reporting and decision-making.
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