2 of 2 Data Engineer Jobs in Warwick

Job Title: Lead Data Engineer Location: Warwick (Hybrid - once per week onsite) Remuneration: From £700 per day (via umbrella company) Contract Details: Fixed Term Contract, 6 months, Full Time Are you ready to take the lead in transforming data engineering? Our client, a forward-thinking organisation, is seeking a highly skilled and hands-on Lead Data Engineer to drive their Data & Insights platform built on the Azure stack. This is a Databricks-heavy role , ideal for someone who thrives in technical environments and enjoys working directly with cutting-edge tools. Why This Role Stands Out This is not just a leadership role - it's a hands-on engineering opportunity where your Databricks expertise … centre . You'll be the go-to person for all things Databricks, from architecture and configuration to pipeline promotion and troubleshooting. Key Responsibilities Lead and deliver hands-on data engineering across all layers of the Azure-based data platform. Act as the Databricks SME (Subject Matter Expert) , overseeing architecture, configuration, and documentation. Guide and support the engineering More ❯

development dreams a reality by designing, engineering and validating the products of tomorrow for the worlds leading manufacturers. Due to our continued growth we are now recruiting for a Data Analysis Engineer SOX Algorithm to be based at our customers site in Gaydon . Our Embedded Systems Solutions department (ESS) encompasses all activities outlined under the Automotive SPICE … risk assessment, functional safety, and cybersecurity, ensuring compliance with ASPICE standards and delivering reliable, secure, and high-quality embedded systems & solutions. The Role: Were looking for a forward-thinking engineer to take the lead on SOX (SarbanesOxley) compliance, algorithm validation, and advanced data analysis for next-generation battery management systems. Youll be part of a dynamic team driving … functional teams to design algorithms for battery state estimation, performance optimization, and degradation modeling Validate models using statistical methods and simulation tools to meet safety, efficiency, and reliability goals Data Analysis & Insights Analyze high-resolution battery data from field units and test environments Build pipelines to process, visualize, and extract trends that inform algorithmic performance Apply machine learning More ❯