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Senior Data Engineer

maersk · DKCPH55 - Copenhagen - Esplanaden 50

New
Senior 🇬🇧 English
SQL Python PySpark cloud data platforms distributed data processing DevOps DataOps

Job description

About the role

Maersk is seeking a Senior Data Engineer to design, build, and operate scalable data products, pipelines, and analytical foundations that power business insights and AI-enabled decision‑making across the enterprise.

Key responsibilities

  • Design, build and optimise batch and streaming data pipelines using modern patterns and tools.
  • Develop robust orchestration workflows for data ingestion, transformation, quality checks and downstream consumption.
  • Create well‑modelled, trusted datasets for reporting, visualisation, advanced analytics and AI/ML use cases.
  • Partner with analytics and product teams to deliver high‑quality datasets, dashboards and semantic layers.
  • Build feature‑ready pipelines for machine‑learning and generative AI applications and collaborate on model productionisation.
  • Ensure data solutions are reliable, scalable, secure and production‑ready, driving automation and observability.

Required profile

  • Strong hands‑on experience delivering scalable data pipelines and analytics foundations.
  • Advanced SQL skills and ability to design performant queries and data models.
  • Proficiency in Python and PySpark for large‑scale data processing.
  • Experience working with cloud data platforms, orchestration tools and distributed processing patterns.
  • Ability to translate business requirements into practical data solutions and prototypes.

Required skills

  • SQL
  • Python
  • PySpark
  • Cloud data platforms (e.g., AWS, Azure, GCP)
  • Data orchestration tools (e.g., Airflow, Prefect)
  • Distributed data processing frameworks
  • DevOps/DataOps practices including CI/CD, monitoring and observability

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Source : ats:workday

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Published for 6 timer siden

Expires om 1 måned

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maersk

DKCPH55 - Copenhagen - Esplanaden 50