Fabric and Databricks Data Engineer - Outside IR35 - Hybrid Role Overview We're looking for a skilled Fabric & Databricks Engineer to design, build, and maintain scalable analytics and data engineering solutions. You'll work at the core of our data platform, enabling analytics, reporting, and advanced data use cases by leveraging Microsoft Fabric and Databricks. You'll collaborate closely with data analysts, data scientists, and stakeholders to deliver reliable, performant, and secure data pipelines and models. Key Responsibilities Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric and Databricks Build and optimize Lakehouse architectures using Delta Lake principles Ingest, transform, and curate data from multiple sources (APIs, databases, files, streaming) Develop scalable data transformations using PySpark and Spark SQL Implement data models optimized for analytics and reporting (e.g. star schemas) Monitor, troubleshoot, and optimize performance and cost of data workloads Apply data quality, validation, and governance best practices Collaborate with analysts and BI teams to enable self-service analytics Contribute to CI/CD pipelines and infrastructure-as-code for data platforms Ensure security, access controls, and compliance across the data estate Document solutions and promote engineering best practices Required Skills & Experience Strong experience with Microsoft Fabric (Lakehouse, Pipelines, Notebooks, Dataflows, OneLake) Hands-on experience with Databricks in production environments Proficiency in PySpark and SQL Solid understanding of data engineering concepts (ETL/ELT, orchestration, partitioning) Experience working with Delta Lake Familiarity with cloud platforms (Azure preferred) Experience integrating data from relational and non-relational sources Knowledge of data modeling for analytics Experience with version control (Git) and collaborative development workflows Nice to Have Experience with Power BI and semantic models Exposure to streaming technologies (Kafka, Event Hubs, Spark Structured Streaming) Infrastructure-as-code experience (Bicep, Terraform) CI/CD tooling (Azure DevOps, GitHub Actions) Familiarity with data governance and cataloging tools Experience supporting ML or advanced analytics workloads What We're Looking For Strong problem-solving and analytical mindset Ability to work independently and as part of a cross-functional team Clear communication skills and stakeholder awareness Passion for building reliable, scalable data platforms To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment