2 of 2 Data Pipeline Jobs in Banbury

Engineer, you will operate within an Agile delivery environment, working closely with the Data Product Manager and Data Architect to ensure your team maintains a pipeline of delivery against the Backlog; providing vital insight from our wide-ranging dataset to support executive and operational decision making that will underpin sustained growth of BFS business units … solutions. You will also have management responsibilities for a small team of Data Engineers, who you will coach, support and organise to ensure we sustain a predictable pipeline of delivery, whilst ensuring all appropriate governance and best practice is adhered to. Your responsibilities as our Senior Databricks Engineer will include: Understand the business/product strategy and … Azure DevOps, collaborating on Sprint cycles, code deployment, version control, and development practices Develop and maintain data models, schemas, and documentation Monitor and troubleshoot data pipeline issues, ensuring timely resolution Stay up-to-date with the latest industry trends and technologies in data engineering and recommend improvements to existing systems or processes as More ❯

a category-defining product that blends smart software with innovative hardware. If you’ve been craving a role where your backend skills power something real, not just abstract data—you’ll want to read on. Why This Role is Great This is more than “just another Python backend role.” It’s your chance to: Own your builds – take … the field. Creating and maintaining APIs, both internal and external, with scalability in mind. Writing clean, production-quality Python code that connects seamlessly across devices, cloud services and data pipelines. Contributing to deployment workflows, cloud integration and system observability. Helping shape the engineering culture and decision-making in a close-knit, mission-driven team. About You You’re … collaboration, with flexibility built-in Opportunity to work with physical product and see your work deployed in the real world Tight feedback loop – work with users, get real data, improve rapidly Flat, transparent structure – where ownership is encouraged and supported More ❯