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- Tasks: Lead a team to own and evolve a critical data platform for a high-scale marketplace.
- Company: Join a profitable digital marketplace operating across the UK and US.
- Benefits: Up to £110,000 salary plus competitive benefits and hybrid working.
- Why this job: Make a real impact on data-driven decisions for millions of users.
- Qualifications: Strong SQL skills, experience with data pipelines, and leadership experience.
- Other info: Dynamic role with opportunities to work on AI and ML projects.
The predicted salary is between 66000 - 77000 £ per year.
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.
Data Platform Technical Lead in London employer: Few&Far
Contact Detail:
Few&Far Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Technical Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your technical skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. Highlight any relevant experience with data platforms, ETL processes, or machine learning to catch the eye of hiring managers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Platform Technical Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with data platforms, SQL, and team leadership. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can contribute to our mission. Don’t forget to mention any relevant projects or experiences that showcase your hands-on approach.
Showcase Your Technical Skills: We’re keen on your technical expertise, so don’t hold back! Include specific examples of your work with ETL/ELT pipelines, data modelling, and any experience with tools like dbt Cloud and Airflow. This is your moment to impress us!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at Few&Far
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data platforms, especially around ingestion, transformation, and modelling. Brush up on your SQL skills and be ready to discuss how you've handled data pipelines in previous roles.
✨Showcase Your Leadership Skills
Since this role involves leading a small team, be prepared to share examples of how you've successfully managed and mentored others. Highlight your experience in fostering collaboration within a team and how you’ve driven improvements in data quality and standards.
✨Familiarise Yourself with the Tech Stack
Get comfortable with the tools mentioned in the job description, like BigQuery, dbt Cloud, and Airflow. If you have experience with these technologies, be ready to discuss specific projects where you used them effectively.
✨Demonstrate Your Curiosity About AI/ML
This role is all about modernising data workflows, so show your enthusiasm for AI and ML. Prepare to discuss how you envision integrating these technologies into data platforms and any relevant experiences you have in this area.
