About this role
Job Description
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. Working closely with regional CRM and commercial teams, you’ll help build a consistent, scalable, and insightful reporting ecosystem for commodity risk.
Your Responsibilities
- 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
Your Profile
- 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.
- Bachelor’s degree in a relevant field with 2–5 years of professional experience.
- Interest in commodity markets, trading, or risk management preferred.