4 of 4 Data Ingestion Jobs in Leeds

chain. This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will … involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring ...

Databricks Data Engineer - Leeds - Up to £70,000 Location: Leeds (Hybrid - 2 days per week onsite) Job Type: Permanent About the Company Our client is a rapidly growing data-driven consultancy helping enterprise-scale organisations modernise their data estates. With several major new projects kicking … early 2026, they are expanding their Leeds engineering hub and looking for a Databricks-focused Data Engineer to join their high-performing team. You will design, build, and optimise cloud-based data pipelines that feed analytics, AI, and real-time insights. You'll work closely with architects, analysts ...

aligned technologies across SIEM, EDR, SOAR, log pipelines, and detection tooling. Telemetry and Log Management – Ability to design and deliver scalable architectures for data ingestion, correlation, and automation Networking & Infrastructure – Strong working knowledge of networking protocols, cloud environments, and security integration patterns Detection & Threat Context – Familiarity with frameworks … from a Microsoft Sentinel centric model to a Defender XDR first operating model Microsoft Sentinel – SOC Engineering Strong engineering capability in Microsoft Sentinel, including data connector onboarding, ingestion optimisation, analytic rule lifecycle management, workspace architecture, and cost-aware service design for multi-tenant MSSP use cases Advanced ...

complex entitlement modelling, contracts, and reclamation workflows (Microsoft, Oracle, IBM, SAP, Adobe, etc.). Implement scalable normalisation and reconciliation strategies for high-volume data ingestion. Architect integrations with discovery tools and ERP systems to support large catalogue management. Establish governance frameworks for audit defence, risk scoring, and compliance dashboards. ...