Data Platform Lead

Client Server Ltd.; Greater London; On-site; GBP 100,000 - 120,000; Full time

Benefits offered by this job

Bonus

25 days holiday

Pension

Employee Assistance Programme

Onsite gym

Well-being champions

Volunteering days

Impactful role

Job summary

Client Server Ltd. in London is seeking a Data Platform Lead to design, build and own a cloud-native data platform on AWS, delivering end-to-end data capabilities for analytics and AI initiatives.

You will lead a hands-on team, partner with software engineering, BI and enterprise architecture, and manage ingestion pipelines, migrations from legacy systems, and a scalable hub-and-spoke data architecture while working in a hybrid office/remote setup in London.

Qualifications

• Lead Data Engineer or Senior Data Engineer with end-to-end data platform design and build experience.
• Deep hands-on cloud-native data infra experience, ideally AWS IaC.
• Experience with Lakehouse and modern Data Warehouse patterns (Athena/Redshift/Glue/EMR).
• Proven ability to design and operate data ingestion pipelines at scale (batch/streaming).
• Experience with migrations, dual-running, reconciliation and trust-building.
• Strong data modelling for analytics and enabling self-service analytics (Metabase).
• Exposure to AI-adjacent data work and real-time analytics capabilities.
• Collaborative, pragmatic communicator with product managers.

Responsibilities

• Design, build and own the new cloud data platform from the ground up.
• Act as design authority for data infrastructure with cross‑functional teams.
• Own data ingestion pipelines and migrations from legacy systems.
• Support dual-running transitions and trust-building across platforms.
• Enable analytics, AI and self-service analytics for the business.

Skills

Lead Data Engineer

AWS cloud-native infra

Lakehouse patterns

Data ingestion pipelines

Data migration & dual-running

Data modelling for analytics

Self-service analytics (Metabase)

AI-adjacent data work

Collaboration with PMs

Tools

AWS

Athena

Redshift

Glue

EMR

Metabase

Lakehouse (S3-based)

Job description

London, Greater London | £100k - £120k per year

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'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.

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'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

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