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- Tasks: Lead a team to own and evolve a mission-critical data platform for a high-scale digital marketplace.
- Company: Join a profitable, well-established company scaling across the UK and US.
- Benefits: Up to £110,000 salary, competitive benefits, and hybrid working model.
- Why this job: Make a real impact on data-driven decisions for millions of users.
- Qualifications: Strong experience in data warehousing, SQL, Python or R, and team leadership.
- Other info: Dynamic environment with opportunities to modernise data models and contribute to AI/ML projects.
The predicted salary is between 72000 - 88000 £ 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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data projects. This gives potential employers a taste of what you can do, especially with SQL and Python.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to data platforms. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 love seeing candidates who are proactive!
We think you need these skills to ace Data Platform Technical Lead in Slough
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 hands-on 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 modelling and team management to grab our attention.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention your experience with BigQuery, dbt, and Airflow, as well as any projects where you’ve integrated ML or AI into analytics. We love seeing real-world applications!
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 ensure it reaches the right people!
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 approach to fostering collaboration and driving results within a team setting.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools mentioned in the job description, like dbt Cloud and Airflow. Be ready to discuss your hands-on experience with these technologies and how they can enhance data workflows.
✨Align with Company Goals
Understand the company's mission and how the data platform supports their objectives. Be prepared to discuss how you can contribute to their AI and ML ambitions, ensuring that your vision aligns with theirs.
