Data Platform Lead

Client Server; Greater London; Hybrid; GBP 108,000 - 132,000; Full time

Benefits offered by this job

Bonus

25 days holiday

Pension

Employee Assistance Programme

Onsite gym

Well-being champions

Volunteering days

Job summary

Client Server in London is seeking a Data Platform Lead to design, build and own a new cloud-hosted data platform (AWS) from the ground up, collaborating with engineering, BI and EA to enable analytics, AI and scalable data flows.

This hands-on leadership role combines architecture with delivery, including data ingestion and legacy system migrations, aiming for a hub-and-spoke, single source of truth.

Qualifications

• Experience leading end-to-end data platform design and delivery.
• Hands-on expertise with cloud-native data infrastructure (AWS).
• Experience with Lakehouse patterns, S3, Athena/Redshift, Glue, EMR.
• Proven ability to design and operate large-scale data ingestion pipelines.
• Ability to support system migrations and dual-running with reconciliation.
• Strong data modelling skills for analytics.
• Experience enabling self-service analytics platforms (e.g. Metabase).

Responsibilities

• Design, build and own a new AWS-hosted data platform from ground up.
• Own data ingestion pipelines and migration from legacy systems.
• Collaborate with software engineering, BI and Enterprise Architecture.
• Enable analytics, AI and safe system transitions at scale.

Skills

Lead Data Engineer

Data Platform

Cloud-native

AWS

Data Ingestion

Data Modelling

Collaboration

Self-service Analytics

Job description

Data Platform Lead Client Server London, England

Data Platform Lead London / WFH to £120k

Do you have expertise with modern data platform engineering?

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.

Location / WFH:

You will 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.

About you:

• 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 are 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

What's in it for you:

• 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

Full-time