Senior Data Engineer
maersk · DKCPH55 - Copenhagen - Esplanaden 50
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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maersk
DKCPH55 - Copenhagen - Esplanaden 50
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