Orbital Copilot
Engineering
DataEngineer(Analytics)
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer (Analytics) at Orbital Copilot. Skills: Data platform architecture, Data engineering, Analytics engineering, Cloud infrastructure. Design analytics architecture. Build extraction pipelines”
What You'll Achieve.
Leave behind clean, documented, extendable system
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Led or owned data platform architecture, Extracted from live operational relational database, Independently set up cloud data environment, Built data platform from scratch, Data engineering and analytics engineering, Deep SQL and data modelling capability, Pragmatic about tooling, Write documentation for coding agent
Nice to Have
Experience building customer-facing analytics, Experience instrumenting AI/LLM usage, Familiarity with data residency requirements, Experience in ISO 27001 or SOC 2 compliant environments, Experience with multi-tenant reporting, Startup or early-stage background, Experience with dbt
What You'll Do.
Design analytics architecture
Build extraction pipelines
Design operational data store
Define canonical business metrics
Stand up internal analytics
Stand up customer-facing dashboards
Evaluate and recommend tooling
Set up secure data access
Set up scheduled jobs
Set up object storage
Set up secrets management
Set up cost-aware infrastructure
Establish data quality checks
Establish pipeline observability
Write documentation for AI coding agents
Work closely with Ciaran
How You'll Work.
Team & Collaboration
Day-to-day contact with Ciaran
Full Job Description
🚀 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. ROLE OVERVIEW - This is a solo greenfield build… one engineer, Postgres source, 31 July launch. - We're looking for a Senior Data Engineer with Analytics experience (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, a
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