Aareon is Europe’s established provider of SaaS solutions for the real estate industry and a pioneer of the sector’s digital future.
With its software solutions, Aareon connects people, processes, and properties—bringing the industry closer together. With the Aareon Property Management System, based on intelligent software solutions, the company enables the efficient management and maintenance of residential and commercial properties and creates digital experiences for all stakeholders.
As a reliable and innovative partner, Aareon is committed to progress, positive change, and sustainable living and working spaces for everyone.
We value a working environment in which diversity and flexibility are appreciated, cooperation in partnership and mutual support in the team are a matter of course and learning is perceived as an opportunity.
Become part of our international team! Become part of #OneAareon! We are looking forward to meeting YOU!
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. Our vision is simple: a unified, intelligent data experience that customers trust, understand, and can act on instantly.
We are now hiring a Data Platform Engineer, responsible for helping design and build the shared data platform that powers analytics, reporting, and AI capabilities across Fixflo, Arthur, HomeMaster, ActiveH, Versaa and beyond.
This is not a back-office BI job.
This role focuses on building the data platform foundations that enable analytics, reporting, and AI-ready datasets that allow customers to “chat with their buildings,” generate QBR-ready output at the click of a button, and access persona-driven dashboards tailored to the real needs of property managers, building owners, leaseholders, on-site teams, and contractors.
As part of our growing data capability, you will help implement the platform standards, architecture patterns, and engineering practices that support our long-term data strategy. You will also collaborate closely with our AI Innovation and Data Architecture functions as they evolve, ensuring the platform is future-proofed for predictive analytics and machine learning.
If you’re excited about building something significant from the ground up - with real commercial and product impact - this role is for you. This role offers the opportunity to grow into a senior platform engineering position as the data capability expands.
What You’ll Be Responsible For
1. Building and Evolving the Unified Data Platform
You will help design, build, and maintain the Microsoft Fabric-based data platform that powers customer-facing analytics. You will create ingestion pipelines from our SQL-backed products, design robust data models covering properties, assets, repairs, compliance, contractors and financial domains, and ensure all data is trustworthy, well-documented, secure, and scalable.
This includes contributing to data contracts, metadata standards, lineage visibility, and governance foundations across the entire multi-product ecosystem.
2. Enabling Insight Products and Analytics Experiences
- Working with product teams and domain experts, you will enable the datasets and models that power dashboards and insight experiences tailored to each key persona:
- Freeholders / Asset Owners
- RMC/RTM Directors
- Operational Property Managers
- Portfolio Managers
- Leaseholders / Residents
- On-site Staff & Contractors
These dashboards will become part of our sellable, value-added product offering and will help customers manage compliance risks, contractor performance, SLA outcomes, and building health with clarity and confidence.
3. Building Our Automated Reporting Engine
You will support the data infrastructure behind automated reporting capabilities. This includes templated QBR outputs, compliance summaries, financial snapshots, asset performance reporting, and scheduled insights delivered directly from the product.
Your work will eliminate the current reliance on spreadsheets, manual collation, and ad-hoc data exports.
4. Enabling Conversational Analytics (“Chat With My Buildings”)
You will help ensure the platform provides well-structured, AI-ready datasets that support natural language interactions - enabling customers to ask questions like:
- “Which assets have upcoming inspections due?”
- “Which buildings present the highest compliance risks this quarter?”
- “Where are my biggest SLA breaches?”
This requires you to structure data, metadata, relationships, and context to support AI and LLM interfaces. You will work closely with the AI Innovation function to ensure datasets are AI-ready.
5. Collaborating With Product, AI Innovation & Data Architecture
You will collaborate closely with Product, AI Innovation, and Data Architecture teams to ensure the platform supports analytics, reporting, and emerging AI capabilities across Aareon products. The role acts as a bridge between the platform engineering layer and the teams building analytics and AI-driven capabilities on top of it.
6. Contributing to the Data Platform Capability
You will contribute to building data as a core platform capability across the organisation - influencing roadmaps, shaping the long-term strategy, and preparing the organisation for future hires across engineering, analytics, and ML. This is a builder role: high ownership and the opportunity to grow with the platform as it evolves.
About You
You are a hands-on technologist with a product mindset. You care about how customers use data - not just how it is transformed. You know that great insight design starts with understanding the user and their workflow. You 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
- Are comfortable working with ambiguity and building from a blank slate
- Are energised by creating new capabilities that will scale across multiple products
- Enjoy the opportunity to help build a new capability that will scale across multiple products
Skills & Experience
Essential
- 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
- Autoated QBR/reporting engine launched and widely used
- Conversational analytics (“chat with my buildings”) enabled through well-structured, AI-ready datasets
- Platform supports expansion into predictive analytics and ML capabilities, including: Asset failure prediction
- Compliance breach risk scoring
- Demand and volume forecasting
- Data products contribute directly to customer satisfaction, retention, and commercial value
- Foundations, standards, and architectural patterns established for future data and AI hires
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 - both for our customers and for our business.
Your work will not sit on an internal dashboard. It will power the next generation of our product portfolio, and it will be visible, impactful, and strategic.
If you're ready to build the data engine behind the future of property management, we’d love to speak with you.
