Analytics Engineer

At Interfood, data is a key driver for our business. As an Analytics Engineer at our global Global Headquarters in Eindhoven , you'll own business-facing data products from requirements to production. Working closely with business stakeholders, you'll translate business needs into trusted, analytics-ready datasets, combining strong business understanding with hands-on technical delivery using SQL, Python and modern Azure technologies. You'll become part of our Global Data & Analytics team: an ambitious and collaborative team where innovation, ownership and continuous improvement are part of everyday work. In this role, you'll collaborate with colleagues across the business, translate business needs into trusted data solutions and contribute to solutions that create real value for our international organization, all while continuing to grow your technical expertise. As an Analytics Engineer you:

• Own data products end-to-end by gathering business requirements, managing stakeholders, prioritizing work, and delivering trusted analytics solutions from design through production support.
• Develop and maintain data pipelines by building batch data ingestions and transforming raw data into analytics-ready datasets using SQL and Python (and dbt where applicable).
• Support and continuously improve existing data products by monitoring, troubleshooting and resolving production issues, and enhancing the reliability and performance of ingestion and transformation processes.
• Apply data governance practices by implementing data quality checks, metadata, lineage and business definitions to ensure trusted and well-governed data products.
• Collaborate with business stakeholders to understand their needs and translate them into practical, analytics-ready data solutions.
• Work closely with Data Engineers on platform capabilities and complex technical challenges, acting as the primary business-facing contact for data products.
• Contribute to engineering standards, knowledge sharing, and continuous improvement within the team.
• Take ownership of your work while building trusted relationships with business stakeholders and successfully managing expectations, priorities, and dependencies. Your profile

2-4 years' experience in analytics or data engineering; exposure to the commodity/financial trading industry is a big advantage. Experience building and maintaining batch data ingestion and transformation pipelines (SQL and Python). Experience with data modelling and delivering analytics-ready datasets. Experience working with Azure (or a comparable cloud platform). Experience gathering business requirements and working directly with stakeholders. Experience supporting and troubleshooting production data products. Experience with Git and Agile/Scrum ways of working. Experience with DBT, Databricks, Spark, or data quality, metadata management and data governance practices is considered a plus.

• Competitive compensation and benefits.
• 40 hour work week, 25 holidays.
• Participate in fun team activities.
• Free delicious and healthy lunch.
• We value your personal development and have a strategic focus on our learning program. About Interfood

The Interfood Group is a leading global dairy trading company (milk powders, butter, cheese, dairy blends etc.). Our constant strive for optimal quality, up-to-date knowledge and a profound focus on service, enables Interfood to create the difference for its robust network of both clients and suppliers. We stimulate personal development and initiatives from our employees. Interfood, originally a family-based company, proves that global professionalism can still be combined with a unique personal company culture, in which we focus on following values: Teamwork, Commitment, Continuous Improvement, Professionalism & Responsible Leadership.