4 of 4 Permanent Data Pipeline Jobs in Norfolk

Reltio SMEs to craft and present design patterns, rationalize design decisions, and guide implementation teams. You should bring hands-on experience designing Reltio data models, profiles, survivorship, match/merge rules, workflows, and integrations, backed by a solid understanding of Customer 360 domains and data governance.Ideal … Reltio projects end-to-end, can articulate why a pattern fits (not just how), and is confident presenting to senior client stakeholders.Your ResponsibilitiesSolution & Data Model Design Define and document Customer 360 data models in Reltio including entities (e.g., Person, Organization), relationships (Household, Hierarchies), interactions, and reference ...

Level Data Engineer Location: Norwich (Hybrid – City Centre office with flexible remote working) Salary: Competitive + Flexible Working Are you a Data Engineer looking to take the next step in your career within a growing, innovative tech business? We’re working with a well-established software … from their financial data. With a strong presence across the UK and Ireland, they partner with leading accounting platforms to deliver high-impact data solutions that genuinely support business decision-making. Due to continued growth, they are now looking to appoint a Mid-Level Data Engineer ...

Description Role/Job Title:Data Ops Engineer Work Location:Norwich 3 Days (Flexible) Duration of Assignment:06 Months The Role A Data Ops Engineer is responsible for designing, automating, and optimizing data pipelines and ensuring smooth data flow across the organization. … role bridges data engineering, operations, and DevOps practices to deliver reliable, high xkybehq quality, and timely data for analytics, reporti Submit your CV and any additional required information after you have read this description by clicking on the application button. Please click on the apply button ...

experience on AWS; Azure exposure is highly beneficial. Hands-on experience or working exposure in securing LLM/AI workloads, including model deployment, data flows, and runtime considerations. Proficiency with cloud-native security tooling (CSPM, CWPP, secrets management, logging/monitoring, container security). Experience securing … ensure secure implementation of AI workloads. Desirable skills/knowledge/experience: Experience securing GenAI, Agentic AI, vector databases, model APIs, or data pipelines used by LLMs. Knowledge of responsible AI principles, model governance, or AI-specific threat modelling (e.g., adversarial ML, data poisoning, prompt injection ...