Senior Data Engineer

About the role

We are looking for a skilled Data Engineer to design and build a modern data foundation that enables trusted analytics and business insights.

The person will play a key role in developing scalable data pipelines, designing semantic and analytical data models, and transforming raw data into high-quality datasets for reporting and decision-making.

Key responsibilities

• Design and develop scalable data pipelines in Databricks.
• Build and maintain a robust, high-quality data foundation across Sustainable Sourcing areas
• Design and implement analytical and semantic data models that support business intelligence and self-service analytics.
• Transform complex business requirements into scalable data structures.
• Develop and optimize ETL/ELT processes.
• Ensure data quality, governance, and performance across the data platform.
• Collaborate with business stakeholders to deliver data-driven solutions and insights
• Support Power BI datasets, reports, and dashboards where relevant.

Required qualifications

• Strong experience with Databricks, SQL, and modern data engineering. Databricks is already in use. The immediate focus is to stabilise and improve the current environment before building the next-generation solution.
• Proven expertise in data modelling (dimensional modelling, star schemas, semantic models, and data warehouse design).
• Key data domains include transactional datasets, carbon footprint data, and potentially supply chain data, with SAP experience likely to be beneficial.
• Experience designing scalable data platforms and ETL/ELT solutions.
• Power BI data modelling and visualisation creating insights for business stakeholders
• DAX and Power Query.

Success in this role means

building a scalable and trusted data foundation that enables high-quality data models, self-service analytics, and actionable business insights.