Aareon is Europe’s established provider of SaaS solutions for the real estate industry. With the Aareon Property Management System, the company enables the efficient management and maintenance of residential and commercial properties and creates digital experiences for all stakeholders.
Salary: £50,000 per year
Work Location: Manchester – Hybrid
Hours per week: 37.5
Contract Type: Permanent
The Role
Aareon UK is building a modern, customer‑facing data platform that transforms how property professionals engage with their buildings, assets, compliance obligations, performance reporting, and operational risks. The role is focused on building the data platform foundations that enable analytics, reporting and AI‑ready datasets for customers.
What You’ll Be Responsible For
- Building and Evolving the Unified Data PlatformDesign, build, and maintain the Microsoft Fabric‑based data platform that powers customer‑facing analytics. Create ingestion pipelines from SQL‑backed products, design robust data models covering properties, assets, repairs, compliance, contractors and financial domains and ensure data is trustworthy, well‑documented, secure and scalable. Contribute to data contracts, metadata standards, lineage visibility and governance across the multi‑product ecosystem.
- Enabling Insight Products and Analytics Experiences
- Freeholders / Asset Owners
- RMC/RTM Directors
- Operational Property Managers
- Portfolio Managers
- Leaseholders / Residents
- On‑site Staff & Contractors
- Building Our Automated Reporting EngineSupport the data infrastructure behind automated reporting capabilities, including templated QBR outputs, compliance summaries, financial snapshots, asset performance reporting and scheduled insights delivered directly from the product.
- Enabling Conversational Analytics (“Chat With My Buildings”)Ensure the platform provides well‑structured, AI‑ready datasets that support natural language interactions. Work closely with the AI Innovation function to make datasets AI‑ready.
- Collaborating With Product, AI Innovation & Data ArchitectureAct as a bridge between the platform engineering layer and the teams building analytics and AI‑driven capabilities on top of it.
- Contributing to the Data Platform CapabilityInfluence roadmaps, shape long‑term strategy and prepare the organisation for future hires across engineering, analytics and ML. The role offers ownership and growth opportunities.
About You
You are a hands‑on technologist with a product mindset. You care about how customers use data, enjoy bringing structure to ambiguous environments and thrive when creating systems, standards and experiences from scratch.
You will be a great fit if you:
- Combine deep data engineering capability with a passion for customer‑facing analytics
- Are excited by applied AI and the future of data‑driven user experiences
- Comfortable working with ambiguity and building from a blank slate
- Energetic about creating new capabilities that scale across multiple products
Essential Skills & Experience
- Practical experience in data engineering, analytics engineering or related roles within SaaS or product‑led environments
- Strong applied experience with Microsoft Fabric or equivalent Azure technologies
- Excellent SQL and solid Python capability
- Experience supporting analytics, reporting or insight products through robust data engineering
- Strong understanding of dimensional modelling, semantic layers and data product design
- Experience building datasets suitable for AI and LLM‑based natural language querying
- Strong knowledge of data contracts, metadata, quality and governance
Desirable
- Experience with property, asset, compliance, maintenance or operational domains
- Exposure to predictive modelling or ML‑enabled product features
- Familiarity with embedded analytics, multi‑tenant data permissions and RLS
- Experience in early‑stage or scaling data teams
What Success Looks Like (0‑12 Months)
- A unified Fabric‑based data platform is live, stable and supporting analytics and AI capabilities across products
- Persona‑based insight dashboards available across multiple Aareon UK products
- Automated QBR/reporting engine launched and widely used
- Conversational analytics enabled through well‑structured, AI‑ready datasets
- Foundation, standards and architectural patterns established for future data and AI hires
- Platform supports expansion into predictive analytics and ML capabilities, including:
- Asset failure prediction
- Compliance breach risk scoring
- Demand and volume forecasting
- Data products contributing directly to customer satisfaction, retention and commercial value
Why This Role Matters
This role will shape the future of how Aareon UK’s customers understand and manage their buildings. You will build something that reduces risk, improves operational efficiency and creates measurable commercial value for our customers and the business.
Ready to build the data engine behind the future of property management? We’d love to speak with you.
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