Role Overview
Join a global Commodity Risk Management team driving data integrity, transparency, and insight across ADM’s risk landscape. As a Data & Analytics Engineer, you will design and maintain the data pipelines, reporting architecture, and analytical tools that enable informed risk decisions worldwide.
What You Will Do
Support data integration and transformation using SQL, Python, and Databricks, partner with IT and regional teams to ensure data consistency and reliability across systems, contribute to the design and governance of CRM’s global data and reporting architecture, design and maintain Power BI dashboards and reports to support global and regional risk transparency, participate in daily position validation and risk reporting activities.
Why It Might Be a Fit
Analytical, detail-oriented, and eager to learn, proficient in Power BI (incl. DAX), SQL, and Python, understanding of data pipelines and data modeling concepts, strong communication skills and ability to bridge technical and business perspectives.
Requirements
- Analytical, detail-oriented, and eager to learn
- Proficient in Power BI (incl. DAX), SQL, and Python
- Understanding of data pipelines and data modeling concepts
- Strong communication skills and ability to bridge technical and business perspectives
To apply for this job please visit sjobs.brassring.com.

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