Job Overview: We are seeking a motivated and detail-oriented Data Engineer with a passion for designing and delivering high-quality data solutions in Databricks. You will be responsible for building and optimising data pipelines that form the foundation of our reporting and analytics ecosystem. Using your technical expertise, you will design and maintain efficient ETL processes to integrate data from systems such as ServiceNow, JIRA, and Dynatrace, ensuring accuracy, performance, and scalability. You will thrive in a fast-paced, collaborative environment and be eager to learn, innovate, and continuously improve our data platform.If you are passionate about building reliable data foundations and enabling insights that drive smarter decisions - this is the ideal role for you! Contract - 6 months Location - Cambridge (2 days onsite) Rate - Flexible (inside IR35) Responsibilities: Design, build, and maintain scalable ETL pipelines in Databricks to integrate data from multiple business systems such as ServiceNow, JIRA, and ADO.Optimise data workflows for performance, scalability, and reliability.Implement data validation and quality checks to ensure trustworthy reporting in downstream tools such as Power BI.Create data modelling and schema design at backend for analytics and reporting.Collaborate with the Staff Data Engineer and Visualisation Developer to align technical delivery with reporting needs.Manage code in Git and support CI/CD processes for Databricks deployments.Contri