7 of 7 Data Engineer Jobs in the East Midlands

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations … worlds leading corporations. EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect, creating value from data to ensure faster decision-making and transforming operating models. Key industries include Insurance, Healthcare, Banking and Financial Services, Media, and Retail, among others. Headquartered in New York ...

Data Engineer- SAP 2-3 Days per week onsite - Lincolnshire £500-£550 P/D Outside IR35 Come and work with us as we continue to build and enhance our data capability, supporting the delivery of high-quality, reliable data solutions across the business. … currently seeking an experienced Data Engineer to design, build and optimise scalable data pipelines and datasets that support reporting, analytics and business decision-making. This role will play a key part in transforming data from core systems including SAP, Excel and cloud platforms into structured, trusted ...

Data Engineer- SAP 5 Days per week onsite - East Midlands £500-£550 P/D Outside IR35Come and work with us as we continue to build and enhance our data capability, supporting the delivery of high-quality, reliable data solutions across the business.We are currently seeking … experienced Data Engineer to design, build and optimise scalable data pipelines and datasets that support reporting, analytics and business decision-making. This role will play a key part in transforming data from core systems including SAP, Excel and cloud platforms into structured, trusted and accessible outputs ...

Technical Data Engineer/Analyst | Contract | Azure | 6 months | Hybrid | Outside IR35 | £425 - £475 | Nottingham | We’re supporting a major data transformation programme and looking for a Technical Data Analyst to help migrate legacy systems into a modern Azure data platform . This … none negotiable. This is a ideal role for someone who is looking for hands on experience with Azure analytics tools and thrives in a data heavy environment. What you'll be doing: Analysing, understanding, and documenting legacy data structures Supporting data model mapping from old systems into ...

Senior Data Engineer- Spark & Databricks Optimisation- Up to £55K North Lincolnshire/Hybrid (2 days onsite) Major performance, optimisation & AI-driven projects Are you a Data Engineer who loves solving performance challenges, optimising compute, and getting stuck into large-scale data environments? This … well-known client needs someone who can take real ownership as the platform evolves into its next phase. They're at a pivotal moment. Data usage across the organisation is skyrocketing, and they're investing heavily into improving how data flows, how it's processed, and how modern ...

DATA ENGINEER Up to £70,000 + BENEFITS UK (Remote-first) This is a great opportunity to join a high-growth education technology business where you can take ownership of building and scaling a modern data platform that underpins decision-making across the entire organisation. THE COMPANY … business is scaling rapidly and investing heavily in data to create a single, trusted view of performance across marketing, product and operations. THE ROLE: You will take ownership of a modern data platform. Key responsibilities include: Owning and developing the end-to-end data platform Building ...

passionate about building the engine that powers data at scale? At Specsavers, we’re looking for a Senior DataOps Engineer to play a critical role at the heart of our Data Engineering team helping us build, run, and continuously improve the platforms that enable data-driven … decision making across the business. This is an exciting opportunity to own the “assembly line” behind our data products. You’ll be focused on making our data platform faster, more reliable, and easier to work with using automation, observability, and modern engineering practices to improve quality, resilience ...