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- Tasks: Lead and scale our enterprise data platform while ensuring reliability and enabling analytics.
- Company: Join a growing international SaaS business with a remote-first culture.
- Benefits: Enjoy 26 days PTO, birthday day off, and performance-based compensation reviews.
- Other info: Remote work with opportunities for mentorship and career growth.
- Why this job: Make a real impact on data infrastructure and drive AI/ML initiatives.
- Qualifications: 5+ years in data engineering with strong cloud platform experience.
The predicted salary is between 70000 - 90000 £ per year.
We’re looking for a Data Platform Lead to own and scale ApprovalMax’s enterprise data platform. Reporting to the Head of Data, you will ensure our data infrastructure is reliable, scalable, and trusted across the business while enabling analytics, self-service reporting, and future AI/ML initiatives. This is a hands‑on technical leadership role combining platform architecture, engineering standards, and team leadership.
What You’ll Do
- Own and operate the enterprise data platform (Azure Data Lake Gen2 + Databricks).
- Design and maintain scalable data pipelines, ingestion processes, and transformation layers.
- Ensure data reliability, security, governance, and performance across the platform.
- Enable self-service analytics by supporting analysts with robust data models, marts, and tooling.
- Lead development of an AI‑ready data platform, including semantic layers and infrastructure for ML/LLM use cases.
- Manage and mentor the Data Engineer, setting technical standards and priorities.
- Drive engineering best practices: CI/CD, testing, observability, and data quality monitoring.
- Oversee platform roadmap, architecture decisions, and cloud cost optimisation.
What We’re Looking For
- 5+ years of experience in data engineering or data platform roles, including senior or technical lead responsibilities.
- Strong experience with cloud data platforms (ideally Azure + Databricks).
- Expertise in modern data stack practices (ELT pipelines, dbt, data modelling, data quality frameworks).
- Strong Python and orchestration experience (Airflow, Prefect, Databricks Workflows, or similar).
- Experience building reliable production data platforms with CI/CD, testing, and monitoring.
- Comfortable leading technical decisions and communicating trade‑offs to stakeholders.
- Demonstrated use of AI coding agents / LLM‑assisted development in engineering workflows.
Nice to Have
- Experience with AI/ML infrastructure (feature stores, vector databases, model serving).
- Familiarity with LLM application patterns such as RAG or text-to-SQL.
- SaaS or B2B product company experience.
What We Offer
- Growing international SaaS business with 10,000+ subscribers.
- Remote‑first working environment.
- 26 days PTO + birthday day off.
- Performance‑based compensation reviews.
- Remote office support.
Reporting to: Head of Data Team: Central Data Platform
Data Platform Lead in London employer: ApprovalMax
Contact Detail:
ApprovalMax Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure and Databricks. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to data engineering and platform architecture. Practice explaining your thought process and decision-making, as this is key for roles like Data Platform Lead.
✨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 about their job search!
We think you need these skills to ace Data Platform Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Platform Lead role. Highlight your experience with Azure, Databricks, and any relevant data engineering projects. 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! Use it to explain why you're passionate about data platforms and how your experience makes you the perfect fit for our team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your experience with CI/CD, testing, and any AI/ML initiatives you've been involved in. We’re keen to see how you can contribute to our data platform!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at ApprovalMax
✨Know Your Data Stack
Make sure you’re well-versed in the modern data stack, especially Azure and Databricks. Brush up on ELT pipelines, data modelling, and quality frameworks. Being able to discuss your experience with these technologies will show that you’re ready to own and operate the enterprise data platform.
✨Showcase Your Leadership Skills
As a Data Platform Lead, you'll need to manage and mentor a team. Prepare examples of how you've led technical decisions or mentored others in previous roles. Highlighting your ability to communicate trade-offs to stakeholders will demonstrate your readiness for this hands-on leadership role.
✨Prepare for Technical Questions
Expect questions about CI/CD, testing, and observability practices. Be ready to discuss how you've implemented these in past projects. Providing specific examples will help illustrate your expertise and reassure the interviewers that you can drive engineering best practices.
✨Emphasise AI/ML Experience
If you have experience with AI coding agents or LLM-assisted development, make sure to bring it up! Discuss any relevant projects where you've built AI-ready data platforms or worked with ML infrastructure. This will set you apart as a candidate who can lead future AI/ML initiatives.