2 of 2 Senior Data Engineer Jobs in Worcestershire

Senior Data Engineer (Databricks SQL Azure) Nottingham/WFH to £65k Opportunity to progress your career in a senior, hands-on Data Engineer role at a SaaS tech company. As a Senior Data Engineer you'll join a newly formed team that deals with customer facing reporting on big data sets, they process 120 billion lines of data per day. You'll be primarily working with advanced SQL with Databricks in Azure including data modelling and low level data design work. As a senior member of the team you'll also contribute to technical discussions, strategic decision making and help to mentor more mid-level … data engineers. Location/WFH: There's a remote interview and onboarding process and you'll be able to work from most of the time, meeting up with the team for constructive meetings once a month/quarter in the Nottingham office. About you: You have advanced SQL and Databricks experience You have experience in cloud based environments, Azure More ❯

Our client, a technology-driven leader in the insurance software space, is seeking a Technical Lead - Data Science & Engineering to help architect and scale their unified data platform and Data-as-a-Service (DaaS) capabilities. This is a hands-on leadership role ideal for someone who thrives at the intersection of data engineering, machine learning, and … modern cloud infrastructure. You'll provide technical direction to a growing team of engineers and data scientists while collaborating with cross-functional stakeholders across product, engineering, and the wider business. Key Responsibilities: Lead the architecture and development of scalable data platforms and DaaS infrastructure (cloud & hybrid). Define best practices and technical standards across data engineering and … guide a multidisciplinary team, promoting robust CI/CD and monitoring strategies. Oversee deployment and governance of ML models in production environments. Collaborate on the design of secure, scalable data APIs for self-serve analytics. Evaluate and introduce new tools and technologies to drive performance and scalability. Required Experience: Extensive background in data science, ML engineering, or data More ❯