Senior Data Engineer, AI & Analytics Platform

Maersk Group - A.P. Møller Mærsk; København; On-site; DKK 900,000 - 1,150,000; Full time

Job summary

Maersk is seeking a Senior Data Engineer to join our Data & AI organization in Copenhagen. You will design, build, and operate scalable data products, pipelines, and analytical foundations powering insights and AI-enabled decision making.

You will work across data engineering, analytics enablement, visualization, and AI/ML engineering to deliver reliable pipelines, governed datasets, and self-service analytics.

Qualifications

• Bachelor or master level degree in Computer Science or engineering.
• 6+ years of experience in data engineering, analytics engineering, or data platform delivery.
• Strong SQL, Python, and PySpark proficiency required.
• Experience designing and operating ETL/ELT pipelines and orchestration workflows.
• Experience with cloud data platforms and distributed processing.
• Exposure to AI/ML practices and CI/CD, monitoring, and DataOps is a plus.

Responsibilities

• Design, build, and optimize scalable batch and streaming data pipelines.
• Develop orchestration workflows for data ingestion, transformation, and quality checks.
• Transform data into reliable, reusable data products using SQL, Python, and PySpark.
• Create trusted datasets for reporting, analytics, and AI/ML use cases.
• Enable self-service data access with clear data contracts and governance.
• Deliver dashboards and semantic layers with production-ready data products.
• Collaborate with product teams to productionize models and automate data refreshes.
• Ensure data solutions are reliable, scalable, and observable across pipelines.

Skills

SQL

Python

PySpark

Data Pipelines

Data Modeling

Data Visualization

Education

MS or BS in Computer Science

Tools

Airflow

Databricks

Snowflake

Cloud Platforms

Job description

Maersk is seeking a Senior Data Engineer to join our Data & AI organization in Copenhagen. You will design, build, and operate scalable data products, pipelines, and analytical foundations powering insights and AI-enabled decision making.

You will work across data engineering, analytics enablement, visualization, and AI/ML engineering to deliver reliable pipelines, governed datasets, and self-service analytics.