Data Analytics Engineer

🚀 We’re on a mission to make real estate transactions smarter, faster, and friction-free.

🏢 Real estate is the world’s largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence.

🤖 That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision.

💰 We’ve just raised a $60m Series B to accelerate our UK/US expansion.

🤝 We're trusted by leading firms like Goodwin and BCLP to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster.

💡 Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one.

We're looking for a Senior Data Analytics Engineer (Contract) to design and build the analytics foundations for a new greenfield product. There is no existing infrastructure: no pipelines, no operational data store, no semantic layer. You are starting from zero and leaving behind something clean, well-documented, and extendable.

The core challenge is architectural: taking a live Postgres product database as the source of truth, understanding how to extract from it reliably as its schema evolves, standing up well-structured operational data stores, and making sound decisions about where data lives, how it flows, and how it is queried. The analytics and visualisation layer (internal dashboards for engineering, product, and CS teams, plus customer-facing usage reporting for law firm clients) sits on top of those foundat...