Data Engineer - SQL - Pyspark - Data Modelling - Databricks - LakeHouse Architectures

My client who are leaders in their field are looking for a a Senior Analytics Engineer, you will take ownership of designing and delivering robust dimensional and semantic data models within a modern lakehouse architecture. You will convert complex business requirements into efficient, scalable transformation pipelines using SQL and PySpark, ensuring data is accurate, well-governed, and optimised for use in Power BI and other analytics and reporting tools., * Lead the development and delivery of curated, analytics-ready dimensional and semantic data models

• Design, build, and maintain advanced SQL and PySpark transformation pipelines on Databricks
• Drive data quality, testing, observability, and performance across the curated data layer
• Facilitate model design reviews and contribute to broader architectural decisions
• Provide technical leadership, mentoring, and support to Analytics Engineers
• Support and enhance CI/CD processes, testing frameworks, and data governance standards across the platform

• Proven experience operating as an Analytics Engineer within modern data platform environments
• Advanced SQL expertise, with strong hands-on capability in PySpark
• Deep knowledge of dimensional modelling, semantic layer design, and analytics engineering best practices
• Practical experience with Databricks and lakehouse architectures
• Strong stakeholder engagement skills, with the ability to clearly communicate complex technical concepts
• Experience providing technical leadership, including mentoring and guiding other engineers