Databricks Data Engineer Role Overview: Our client is seeking a Data Engineer to support the development, optimisation and ongoing improvement of a modern cloud-based data platform. This role would suit someone with strong hands-on Databricks experience who enjoys building reliable data pipelines, improving how data flows through the business, and creating trusted datasets for reporting and analytics. You will work across technical and non-technical teams, helping turn data requirements into scalable solutions that are accurate, maintainable and easy for the business to use. Build, enhance and maintain data pipelines within a Databricks environment. Use Spark, SQL and Python or Scala to support data transformation and automation. Develop structured data layers to support reporting, analytics and wider business use. Extract, ingest and integrate data from APIs, databases and other source systems. Build controls that help identify, investigate and resolve data issues before they affect reporting. Monitor data workflows and troubleshoot failures, performance issues and reliability problems. Work with BI and reporting teams to create clean, usable datasets for business consumption. Maintain clear technical documentation and support good practice around data structure, ownership and access. Support secure and appropriate use of data across the platform. Identify opportunities to simplify, automate and improve data engineering processes. Experience working as a Data Engineer within a modern cloud data environment. Experience building structured data layers, ideally within a Bronze, Silver and Gold architecture. Strong SQL skills for transformation, validation and analysis. Python or Scala experience for data engineering, automation or scripting. Experience ingesting and integrating data from APIs and source systems. Good understanding of data reliability, controls and issue resolution. Experience working with cloud data services such as Azure, AWS or GCP. This is a strong opportunity for a Data Engineer who wants to take ownership of a business-critical data platform and play a key role in improving data quality, structure and reporting capability. You'll be joining an environment where data is central to decision-making, with the chance to improve pipelines, strengthen controls and help shape scalable data solutions that support long-term business growth. The role offers exposure to Databricks, cloud data engineering, structured data architecture, data improvement work and analytics-focused transformation within a hybrid Manchester-based environment. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
