2 of 2 Lead Data Engineer Jobs in Central London

Lead Data Engineer – Up to £85,000 + Bonus – Financial Services – London Overview: We are currently partnered with a market-leading financial services organisation who are seeking an experienced Lead Data Engineer to join their team and deliver their business-wide data strategy. You will define how data is governed, integrated and … scaled across the business, whilst also building and optimising the ETL pipelines which power our analytics and reporting.As the business embarks on a major modernisation of its data infrastructure, this is a unique opportunity to shape the future data strategy and lead the transformation of the entire data platform. Role & Responsibilities: Lead the data engineering function and define the organisation’s data architecture and governance strategy Design and implement scalable ETL pipelines and modern workflow orchestration Drive the selection and deployment of a new data tech stack as part of a wider platform modernisation Collaborate with stakeholders across research, finance, CRM, and commercial teams to support analytics and decision-making Ensure More ❯

Lead Data Engineer – London – £120,000 Sector: AI Consulting | Client Delivery Type: Full-time | Hybrid Join a tech consultancy at the forefront of applied AI—helping global brands design and deploy intelligent systems that solve real business problems. They combine deep engineering know-how with domain expertise to build the data infrastructure that powers machine learning … and generative AI at scale. 🔍 About the Role As a Lead Data Engineer , you’ll play a critical role in delivering AI-driven solutions for clients—owning the architecture and development of robust, scalable data platforms that feed into machine learning models and intelligent applications. You’ll work closely with Data Scientists, MLOps Engineers, and … domain experts to ensure clean, accessible, and production-grade data pipelines are in place to support experimentation and deployment. 🛠️ Key Responsibilities Build and maintain high-performance data pipelines to power AI/ML use cases Architect cloud-native data platforms using tools like Databricks , Airflow , Snowflake , and Spark Collaborate with AI/ML teams to align data More ❯