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- Tasks: Architect and build scalable data pipelines for an innovative AI product.
- Company: Join LightWork AI, a VC-backed startup revolutionising property management.
- Benefits: Competitive salary, dynamic work environment, and mentorship opportunities.
- Other info: Exciting chance to shape the future of AI in a massive market.
- Why this job: Be the foundational data lead in a high-growth startup with real impact.
- Qualifications: 7+ years in data engineering, strong Python skills, and experience with modern frameworks.
The predicted salary is between 80000 - 100000 £ per year.
As the first senior data hire at LightWork AI, you will architect the data backbone for Felicity, an AI assistant automating 80-90% of property management workflows. You will design scalable pipelines, vector databases, and ML infrastructure, moving the company toward revenue in 2026 within a £33B market undergoing massive structural automation.
Location: London, UK
Why this role is remarkable:
- Rare opportunity to join as the foundational data lead, owning the entire architecture and strategy for a high-growth AI startup with 14,000 units already in pilot.
- Work directly under the Head of Engineering, Spyridon Katsoulis, who previously scaled a 140-person data department and led a $35M Series B.
- High-impact environment where your work directly enables an AI product that automates 75% of administrative tasks in a massive, underserved industry.
What you will do:
- Architect and build scalable real-time and batch data pipelines to support core AI products and operational workloads.
- Design and optimize systems for vector search, retrieval-augmented generation (RAG), and machine learning data workflows.
- Establish engineering standards for data reliability, observability, and governance while mentoring the future data team as the company scales.
The ideal candidate:
- 7+ years of experience in data or backend engineering with a proven track record of building distributed data systems from scratch.
- Deep technical proficiency in Python and hands-on experience with PostgreSQL, NoSQL, and vector databases like Qdrant or Milvus.
- Strong architectural thinker who thrives in fast-moving startup environments and has experience with modern frameworks like Airflow, Kafka, or Spark.
Lead Data Engineer at LightWork AI in London employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer at LightWork AI in London
✨Tip Number 1
Get to know Jack! He’s your first step in this journey. Have a chat with him to share your experience and what you’re looking for. The more he knows, the better he can match you with opportunities like the Lead Data Engineer role at LightWork AI.
✨Tip Number 2
Don’t just wait for jobs to come to you. Be proactive! Use our website to explore roles that fit your skills. The tech world is buzzing with opportunities, and we want to help you snag the best ones.
✨Tip Number 3
Prepare for your chat with Jill! She’s looking for candidates who stand out. Brush up on your data engineering skills and be ready to discuss your past projects. Show her why you’re the perfect fit for the high-impact environment at LightWork AI.
✨Tip Number 4
Follow up! After your conversation with Jack or Jill, don’t hesitate to reach out. A quick thank you or a follow-up question can keep you top of mind as they sift through candidates for the Lead Data Engineer position.
We think you need these skills to ace Lead Data Engineer at LightWork AI in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data engineering and any specific projects you've worked on. We want to see how your skills align with the role of Lead Data Engineer at LightWork AI.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention your experience with Python, PostgreSQL, and any relevant frameworks like Airflow or Kafka. This shows us you’re genuinely interested.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for Jill to see why you’re a great fit for the team!
Apply Through Our Website: Remember to apply through our website! It’s the best way for us to connect you with Jack and ensure your application gets the attention it deserves. Don’t miss out on this opportunity!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, PostgreSQL, and vector databases. Brush up on your knowledge of distributed data systems and be ready to discuss your past experiences with them.
✨Showcase Your Architectural Thinking
Prepare to talk about your approach to designing scalable data pipelines and systems. Think of specific examples where you’ve implemented engineering standards for data reliability and governance, as this will demonstrate your fit for the role.
✨Understand the Company’s Vision
Research LightWork AI and their mission to automate property management workflows. Be ready to discuss how your skills can contribute to their goals, especially in building the data backbone for their AI assistant, Felicity.
✨Ask Insightful Questions
Prepare thoughtful questions for your interviewer, Spyridon Katsoulis. Inquire about the challenges they face in scaling their data architecture or how they envision the future of their data team. This shows your genuine interest in the role and the company.