Data Platform Technical Lead

• Data Platform Lead (lead a team of 3)
• London (Hybrid, 2 days a week in Kings Cross offices)
• Up to £110,000 + Benefits

We’re hiring a Data Platform Lead to own and evolve a mission-critical data platform for a profitable, high-scale digital marketplace operating across the UK and US.

This is a hands-on leadership role combining deep technical ownership with people management and strategic influence.

You’ll take end-to-end responsibility for the data platform covering pipelines, models, governance and analytics, ensuring the business can make confident, data-driven decisions at scale.

You’ll report directly to the VP of Data & Insights and lead a small, high-impact team

Why This Role Matters

• The platform supports millions of users and hundreds of millions in annual transaction volume
• The business is profitable, well-established, and continuing to scale internationally
• Data is embedded into pricing, product decisions, experimentation, and operational tooling
• You’ll modernise and future-proof the data model while enabling advanced analytics, ML and AI use cases

What You’ll Do

• Own the data platform end-to-end: ingestion, transformation, modelling, orchestration and governance
• Lead and mentor a team of 3 Data / Analytics Engineers
• Stay hands-on, especially around data modelling and platform architecture
• Partner closely with analytics, data science and product teams in a data-mesh style environment
• Ensure the platform is robust, scalable, and business-ready
• Support and enable BI, experimentation, pricing and ML workloads
• Drive improvements to data quality, documentation, testing and standards
• Contribute to the company’s AI and ML ambitions, ensuring data structures are fit for modern use cases

Tech Environment

• Cloud Data warehouse: BigQuery
• Transformation & modelling: dbt (dbt Cloud)
• Languages: SQL, Python, R
• Orchestration: Airflow
• Pipelines: ELT / ETL, event-driven systems
• Analytics & BI

What We’re Looking For…

• Strong experience owning or operating a production data warehouse
• Excellent SQL and strong data modelling skills
• Hands-on experience with ETL / ELT pipelines
• Proficiency in Python or R
• Familiarity with dbt Cloud and Airflow
• Experience integrating ML or AI outputs into analytics platforms
• Background in high-volume, transactional or consumer platforms working with large datasets
• Curiosity about AI / ML and how modern tooling can enhance data workflows
• Leadership of a small team (1+ person)

Nice to Have

• Experience with CDC or event-driven architectures
• Exposure to domains such as payments, marketplaces, travel, banking or e-commerce

Working Pattern & Package

• Hybrid: 2–3 days per week in a Central London office (Kings Cross)
• Salary: Up to £110,000 base (dependent on experience) + Competitive benefits package

No VISA Sponsorship available