2 of 2 Data Engineering Jobs in Merseyside

Data Engineer £55,000 to £65,000 basic salary per annum plus benefits including bonus, pension, 25 days holiday (can buy up to 10 more days), two wellness days, healthcare scheme, excellent career development plans (courses & certifications), hybrid-working (1-2 days per week in the office) etc. Our client, a leading UK law firm ranked as one of … the best companies to work for in the country, is seeking a Data Engineer to join their AI team on a permanent basis. This is a fantastic opportunity for a Data Engineer to join an innovative law firm where the utilisation of AI has become fundamental to their entire business plan. The successful Data Engineer will split … their time between core data engineering tasks and low-code AI product development. This is a fantastic opportunity for someone with a strong technical background to play a key role in building a brand-new AI-enabled data platform, while also contributing to the development of the AI-driven products it powers. Essential skills: - At least More ❯

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services … in the design and implementation of solutions involving platforms such as 3DEXPERIENCE. Supporting the development of Digital Twin and IoT-based applications. Contributing to the design and implementation of data models for contextualising industrial data. Collaborating with data engineers to collect, transform, and structure data from OT systems. Developing dashboards and visualisations to support operational decision-making. … Writing and maintaining scripts in Python (or similar languages) for data processing and automation. Your Profile Basic understanding of IoT technologies and industrial data flows. Familiarity with Digital Twin concepts and applications. Exposure to data modelling and data engineering practices. Experience with data visualisation tools (e.g., Power BI, Grafana, Tableau). Programming knowledge in More ❯