7 of 7 Remote/Hybrid Data Pipeline Jobs in Central London

Data Engineer 12 months London - remote £466 pre day inside IR35 - Umbrella only Role description We are looking for an experienced Data Engineer to join the NHS England Digital Screening programme, contributing to the development of data dashboards and reporting products … Data Scientists, Analysts and UCD professionals. This is a largely remote role. Essential skills and experience Strong experience in data pipeline engineering, ETL development and PySpark Experience with Palantir products, including the NHS Federated Data Platform (FDP) Ability to ensure data ...

complex problems and building production-ready AI solutions that deliver measurable business value. Working alongside AI Technical Leads, Product Teams, Software Engineers and Data Scientists, you will design, develop and deploy cutting-edge AI applications using modern Machine Learning and Generative AI technologies. You will play … Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data Technologies SQL NoSQL Databases Data Modelling ETL Development Data Pipeline Engineering Vector Databases such as Pinecone, Weaviate or ChromaDB Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ...

Cribl Data Analytics Engineer Location: London (Hybrid 4 Days per Week Onsite) Contract Length: 12 Months Engagement: Inside IR35 Start Date: ASAP Overview We are supporting a leading financial services organisation in London seeking an experienced Cribl Data Analytics Engineer to join a large-scale Cyber … enrichment processes. Support integration with security and monitoring platforms such as Splunk, Microsoft Sentinel, Elastic, and Datadog. Troubleshoot data ingestion, routing, and pipeline performance issues. Work with Security Operations teams to ensure required log sources are onboarded and monitored. Support cloud and hybrid environments including Azure ...

days onsite, London) Position Type: Permanent Salary: £50,000 - £60,000 per annum + Benefits Experience Required: 6-8 years in Data Integration/ETL About the Role Are you a seasoned Data Integration specialist with deep expertise in cloud ecosystems? We are seeking a Senior … modern data warehouses like Snowflake or Databricks . Performance Tuning: Act as the senior technical lead for debugging, advanced error handling, and pipeline optimization to ensure high scalability and performance. Collaboration: Partner closely with Solution Architects and Business Analysts to translate complex requirements into technical realities, ensuring ...

deep technical engine behind their internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale. You will take prototypes to production, ensure all business systems … storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft ...

Lead end-to-end delivery of CAT products (e.g., Concierge an agentic AI workflow tool, Prism a Mercer knowledge fabric for scheme data, and similar initiatives), from problem framing and design through build, release, and support. Translate risk advisory/consulting needs into clear technical requirements, user stories … solution designs; partner with stakeholders through UAT and rollout. Own the backend and integration approach (APIs, data flows, security, RBAC), and ensure solutions are scalable, maintainable, and well documented Provide technical leadership for a distributed team (London + India): sprint planning input, code reviews, mentoring, and raising engineering ...

Technical Architect to join an existing team of experts. In this highly visible role, you will act as the bridge between complex data science and robust cloud architecture-spearheading the design, governance, and delivery of enterprise-grade AI solutions. You will technically steer engineering teams, manage senior stakeholder … approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI, and Cognitive Search. Data Pipelines: Oversee large-scale data processing and AI data engineering pipelines using Python and PySpark. Leadership & Stakeholder Management: Guide and mentor ...