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For Companies At a Glance
- Tasks: Lead the development of a cutting-edge data platform for analytics and ML products.
- Company: Fast-growing, VC-backed tech company based in London.
- Benefits: Competitive salary up to £110K, remote work, and career growth opportunities.
- Why this job: Shape the future of data engineering and make a real impact in tech.
- Qualifications: Strong skills in Python, SQL, and experience with cloud data warehouses.
- Other info: Join a dynamic team with a hands-on role and exciting projects.
The predicted salary is between 72000 - 88000 £ per year.
Overview
OB are partnering with a fast-growing, VC-backed London tech company that’s scaling its data function through 2026. They’re hiring a Lead Data Engineer / Tech Lead to own and shape their end-to-end data platform, supporting analytics and ML-powered products. The role is hands-on and senior, combining data engineering, system design, and ML enablement. You’ll define architecture, build scalable pipelines, and set technical standards while remaining close to production systems.
Responsibilities
- Own and shape the end-to-end data platform to support analytics and ML-powered products.
- Perform hands-on data engineering, system design, and ML enablement.
- Define architecture, build scalable data pipelines, and set technical standards.
- Remain close to production systems to ensure reliability and performance.
Requirements
- Strong Python and SQL
- Experience with cloud data warehouses (Snowflake or similar)
- Building and orchestrating pipelines with dbt, Airflow, or equivalent
- Exposure to ML systems in production
Remote
3-stage interview process
📩 Interested? Please apply with your CV or send it across to jonah.brookes@oliverbernard.com
Lead Data Engineer - Remote | Up to £110K employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - Remote | Up to £110K
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to data engineering and ML systems. Practising with mock interviews can help us feel more confident when it’s our turn to shine.
✨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 take that extra step.
We think you need these skills to ace Lead Data Engineer - Remote | Up to £110K
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and cloud data warehouses like Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Showcase Your Hands-On Experience: Since this role is hands-on, it’s crucial to demonstrate your practical experience in data engineering and system design. Include specific examples of projects where you’ve built scalable pipelines or worked with ML systems.
Keep It Clear and Concise: We appreciate clarity! Make your application easy to read by using bullet points and clear headings. This helps us quickly spot your key achievements and skills that match the job description.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the tools mentioned like Airflow, DBT, and Snowflake. Brush up on your knowledge of cloud data warehouses and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of your hands-on data engineering work. Talk about the end-to-end data platforms you've built or contributed to, and highlight any ML systems you've worked with in production.
✨Understand the Company’s Vision
Research the company’s goals and how they plan to scale their data function. Be ready to discuss how your skills can help them achieve their objectives, especially in supporting analytics and ML-powered products.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current data challenges, the team structure, and how they envision the Lead Data Engineer contributing to their success.
