4 of 4 Data Ingestion Jobs in Surrey

national security, Roke are a trusted partner delivering mission-critical solutions that protect the UK and its interests. Your Mission As our next Data Engineer, you’ll be managing and developing data pipelines that transform raw data into valuable insights for Roke’s National Security customers, enabling … downstream analytics and reporting. You’ll be working with diverse data sources (batch, streaming, real-time and unstructured), applying distributed compute techniques to handle large datasets. What You’ll Do Data pipeline development - Data ingestion and pipeline orchestration design and tooling. Database schema design/database ...

business growth. Both Commercial & Technical, this role is expected to understand the needs of the business teams and together with expert knowledge of our data & techstack, translate the business requirements into technical blueprints - working with our GIT partners to design & develop end to end (data to user) analytic … class output so this person will be a proven expert in front end solution/BI development & able to develop POCs to stress test data required together with the end user benefit/UX. Initial focus area of this role will be to automate the analytics supporting our monthly ...

Roke Manor Research Ltd is seeking a Data Engineer to design and develop data pipelines that transform raw data into actionable insights for national security customers. You will work with batch, streaming, real-time, and unstructured data, applying distributed compute techniques to handle large datasets. … will contribute to data ingestion, orchestration, schema design, and data security while collaborating with a scrum team on epics and stories. #J-18808-Ljbffr ...

people platforms Handle and partner with external vendors/configuration centres to deliver scalable, compliant solutions globally Act as a link between engineering, product, data science ensuring solutions move beyond prototypes into sustainable production AI & Engineering Leadership Design, develop and maintain production-grade AI applications and services using modern … practices (cloud-native design, CI/CD, testing, observability). Define and implement reusable AI platforms and capabilities (e.g. conversational assistants, AI search, unstructured data processing, GenAI solutions). Lead architectural decisions , ensuring responsible AI, explain ability, security, and operational robustness are embedded by design. Evaluate and integrate LLMs ...