At a Glance
- Tasks: Architect and maintain real-time data pipelines for a cutting-edge AI property management platform.
- Company: Innovative AI property operations startup transforming the £33B market.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a high-growth startup with significant enterprise deals and a focus on innovation.
- Why this job: Lead a groundbreaking project and shape the future of property management with AI.
- Qualifications: 7+ years in data engineering, proficient in Python, SQL, and modern orchestration tools.
The predicted salary is between 80000 - 100000 € per year.
AI property operations startup automating the £33B property management market.
As the first senior data hire, you will architect the production infrastructure powering a sophisticated AI agent. You'll build the real-time pipelines and dynamic data layers that allow the LLM to query live tenancy records and maintenance history, directly determining the automation rate of a platform already managing over 14,000 units.
Location: London, UK
Why this role is remarkable:
- Lead a greenfield opportunity as the foundational data hire, reporting directly to a Head of Engineering who previously built a 140-person data department through a $35M Series B.
- Impact a high-growth startup already closing major enterprise deals and scaling toward significant revenue in a massive, underserved UK market.
- Work at the cutting edge of AI, moving beyond static knowledge bases to build a dynamic, real-time world model for autonomous property agents.
What You Will Do:
- Architect and maintain real-time data pipelines (Kafka/Debezium) integrating with major property management systems like Alto, MRI, and Reapit.
- Design and implement scalable infrastructure for vector search, retrieval (RAG), and data modeling for both structured records and unstructured document extraction.
- Define the AI data contracts and schemas that serve as the world model for the LLM layer, ensuring production-grade reliability and uptime.
The ideal candidate:
- Has 7+ years of experience in data or backend engineering, with a proven track record of building production systems that AI/ML models depend on.
- Proficiency in Python and SQL, with deep experience in relational databases (PostgreSQL), NoSQL, and modern orchestration tools like Airflow or Spark.
- Possesses a reliability-first mindset and experience in high-growth startups, comfortable building from scratch and navigating the ambiguity of early-stage environments.
Lead Data Engineer at AI property operations startup in London employer: Jack & Jill
Join an innovative AI property operations startup in London, where you'll be at the forefront of transforming the £33B property management market. As a Lead Data Engineer, you'll enjoy a dynamic work culture that fosters creativity and collaboration, with ample opportunities for professional growth as you shape the future of autonomous property agents. Benefit from working alongside experienced leaders in a high-growth environment, where your contributions will directly impact the success of a rapidly scaling company.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer at AI property operations startup in London
✨Tip Number 1
Network like a pro! Reach out to people 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 projects, especially those related to data engineering and AI. 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 and real-world scenarios. Practice explaining your past projects and how they relate to the role of Lead Data Engineer. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Data Engineer at AI property operations startup in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead Data Engineer. Highlight your experience with real-time data pipelines and any relevant projects that showcase your skills in Python, SQL, and data architecture.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity. Share your passion for AI and property management, and how your background makes you the perfect fit for our startup's mission.
Showcase Your Achievements:Don’t just list your responsibilities; we want to see your impact! Use metrics and specific examples to demonstrate how you've built production systems or improved processes in your previous roles.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our growing team!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Kafka, PostgreSQL, and Python. Brush up on your knowledge of real-time data pipelines and how they integrate with property management systems. Being able to discuss these tools confidently will show that you're ready to hit the ground running.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in building production systems for AI/ML models. Talk about challenges you faced and how you overcame them, especially in high-growth startup environments. This will demonstrate your reliability-first mindset and ability to navigate ambiguity.
✨Understand the Business Impact
Research the property management market and understand how your role as a Lead Data Engineer can impact the company’s success. Be ready to discuss how your work will contribute to automating processes and improving efficiency. This shows that you’re not just technically skilled but also business-savvy.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. Inquire about the company's vision for AI in property management, the team dynamics, or the challenges they foresee in scaling their data infrastructure. This not only shows your interest but also helps you gauge if the company is the right fit for you.
