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- Tasks: Lead a team to own and evolve a critical data platform for a high-scale digital marketplace.
- Company: Join a profitable, well-established company scaling internationally in the UK and US.
- Benefits: Competitive salary up to £110,000 plus a great benefits package.
- Why this job: Make a real impact on data-driven decisions for millions of users.
- Qualifications: Strong SQL skills, experience with data warehouses, and leadership experience.
- Other info: Hybrid work model with opportunities for career growth in a dynamic environment.
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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their data platform, and be ready to discuss how your skills align with their needs. We recommend practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Tip Number 3
Showcase your projects! If you've worked on relevant data platforms or analytics projects, make sure to highlight them during interviews. We love seeing real-world applications of your skills, so bring your portfolio or case studies to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to make an impact in the data space.
We think you need these skills to ace Data Platform Technical Lead in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Platform Lead role. Highlight your experience with data platforms, SQL, and team leadership to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re passionate about data and how your background aligns with our mission. Share specific examples of your achievements in data management and team leadership.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like BigQuery, dbt, and Airflow. We want to see how you’ve used these technologies to drive results in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
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
As 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’ve used them effectively.
✨Demonstrate Your Curiosity for AI/ML
Since the role involves contributing to AI and ML ambitions, show your enthusiasm for these areas. Discuss any relevant projects or ideas you have about how modern tooling can enhance data workflows, and be prepared to think critically about future trends in data analytics.
