At a Glance
- Tasks: Architect and maintain real-time data pipelines for an innovative AI property management platform.
- Company: Exciting AI startup transforming the £33B property management market.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Join a cutting-edge team and make a significant impact in a rapidly evolving industry.
- Why this job: Be a foundational hire in a high-growth startup and shape the future of property management.
- 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 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 directly with experienced leadership in a high-growth environment, where your contributions will have a direct impact on the company's success and the industry at large.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer at AI property operations startup
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at startups. Use LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and data engineering. Practice common interview questions and be ready to discuss how your experience aligns with the role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it shows your genuine interest in joining our team and being part of something exciting.
We think you need these skills to ace Lead Data Engineer at AI property operations startup
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with data pipelines, AI, and any relevant technologies like Kafka or PostgreSQL. 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! Share your passion for AI and property management, and explain why you're excited about this opportunity. Let us know how your background makes you the perfect fit for our startup.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building data systems or working with AI models, we love to see real-world examples of your work that demonstrate your expertise.
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 the role. Plus, it shows us you’re keen to join our 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 be ready to discuss how you've implemented similar systems in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in previous roles, especially in high-growth environments. Highlight how you approached these problems and the impact your solutions had on the projects or teams.
✨Understand the Company’s Vision
Research the startup's mission and recent achievements. Be prepared to discuss how your experience aligns with their goals, particularly in automating property management and working with AI. This shows genuine interest and helps you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your understanding of the role and the industry. Inquire about their current data challenges or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
