Data Platform Lead

You could be progressing your career in a hands-on technical leadership role at a well established consumer facing financial services company that help people to manage debt, as they go through a technical transformation and scale-up following recent investment.

As a Data Platform Lead you will be responsible for designing, building and owning the new cloud (AWS) hosted data platform from the ground up. You’ll act as the design authority for data infrastructure, working closely with software engineering teams, the BI function and the Enterprise Architect to enable analytics, insight, AI and safe system transitions.

This is a hands-on leadership role where you will design the platform, build it, evolve it and make pragmatic decisions that deliver value early while supporting long term scalability.

You’ll own and evolve data ingestion pipelines, including incremental migration from a legacy monolith and Oracle-based systems, dual-running and reconciliation during platform transition (12-24 month initiative) and be responsible for the ongoing ingestion from systems of record (e.g. Sage, HR systems, HubSpot) and partners with eh ultimate aim of establishing a hub-and-spoke, single source of truth data architecture that supports both transition and long term scale., You’ll be based in fantastic new offices in London that offer a wide range of facilities including wellness rooms and onsite gym for three days a week with flexibility to work from home twice a week.

• You have experience as a Lead Data Engineer or Senior Data Engineer, with experience of designing and building data platforms end-to-end
• You have deep hands-on experience with cloud-native data infrastructure, ideally on AWS using IaC
• You have experience with Lakehouse and modern Data Warehouse patterns; AWS S3-based Lakehouse patterns, Athena / Redshift, Glue, EMR and related native services and Metabase for self-service analytics
• You have experience of designing and operating data ingestion pipelines at scale (batch and streaming)
• You have experience of supporting system migrations and dual-running, including reconciliation and trust building
• You have a strong understanding of data modelling for analytics
• You have experience of enabling self-service analytics platforms (e.g. Metabase or similar)
• You’ve had exposure to AI-adjacent data work, including: preparing data for RAG or ML use cases and supporting streaming or near-real-time analytics
• You’re collaborative and pragmatic, comfortable working closely with Product Managers to explain technical aspects and trade-offs to shape delivery plans that balance speed, quality and risk

• Salary to £120k
• Bonus
• 25 days holiday
• Pension
• Employee Assistance Programme
• Onsite gym and well-being champions
• X2 volunteering days per year
• Opportunity to make an impact as part of new team in a role you can shape