Data Engineer

• Shape how data is structured, governed and consumed across the business
• Design scalable data models
• Build robust ELT pipelines in Databricks using SQL, Python and PySpark
• Integrate data from multiple internal and third-party systems
• Collaborate closely with Analytics Engineers to ensure data is reliable, well-governed and ready for business intelligence, automation and AI-powered solutions
• Challenge existing approaches and improve platform architecture
• Help define long-term data standards

Technologies:

• AI
• API
• Azure
• Business Intelligence
• CI/CD
• Cloud
• CRM
• Databricks
• Git
• Python
• PySpark
• SQL
• Support, We are recruiting a Data Engineer to join our organisation as we modernise our enterprise data platform and prepare for the next generation of analytics and AI-driven solutions. We are a business undergoing significant transformation, including a major CRM migration and ongoing investment in modern cloud technologies. The role offers genuine influence over technical direction and the opportunity to work within a growing data team. This is a hybrid position with three days per week in the office.

• Experience with Databricks, SQL, Python and PySpark
• Experience building and optimising ELT and data pipelines
• Experience with data modelling, lakehouse architecture and modern data platforms
• Experience with Azure data services
• Experience with API and third-party system integration
• Experience with data quality, governance, metadata and lineage
• Experience with Git, CI/CD and engineering best practices