About us Maersk is a global leader in integrated logistics and has been an industry pioneer for over a century. Through innovation and transformation, we are redefining the boundaries of possibility, continuously setting recent standards for efficiency, sustainability, and excellence. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. To learn more about everything that Maersk does, visit us at www.maersk.com.

Do you want to build the data foundation behind how a global logistics leader steers its commercial business? As a Senior Data Engineer in our Commercial Data Products & Reporting team, you will own the pipelines, semantic models and reporting data behind a governed portfolio of global standard reports. This is the “one set of numbers” used by sales leadership, finance business partners and area teams worldwide.

About the Role
You will join a small,



integrated team of Product Owners, Reporting Analysts and engineers across Denmark and India. Engineering and reporting are built as one product, not handed over between silos. You will be the technical anchor for the data layer and cover the whole chain:
• Ingestion and transformation in Azure Databricks and ADLS.
• Orchestration in Azure Data Factory.
• Semantic models in Azure Analysis Services (AAS) and Power BI / Fabric, which our dashboards and reports are built on.

We are evolving our semantic layer and using AI assistants and agents in our engineering work. You will help shape both.

Key Responsibilities

Build and own the data layer
• Design, build and run scalable data pipelines in Azure Databricks (SQL/PySpark) on ADLS, orchestrated with Azure Data Factory, integrating multiple ERP and operational source systems.
• Design, maintain and optimize Azure Analysis Services mod

📌 Senior Data Engineer (Pune)
🏢 A.P. Moller - Maersk
📍 Pune