At a Glance
- Tasks: Build and maintain a cutting-edge data platform for property management analytics.
- Company: Join Aareon, Europe's leading SaaS provider for the real estate industry.
- Benefits: Enjoy a competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving AI and analytics in real estate.
- Why this job: Shape the future of property management with innovative data solutions.
- Qualifications: Experience in data engineering and strong skills in SQL and Python required.
The predicted salary is between 50000 - 50000 £ per year.
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.
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 Platform: Design, 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: Support various stakeholders including Freeholders, Asset Owners, RMC/RTM Directors, Operational Property Managers, Portfolio Managers, Leaseholders, Residents, On‑site Staff & Contractors.
- Building Our Automated Reporting Engine: Support 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: 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 Architecture: Act 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 Capability: Influence 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, and 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.
Data Platform Engineer in Manchester employer: Aareon Group
Aareon is an exceptional employer, offering a dynamic work environment in Manchester that fosters innovation and collaboration. With a strong focus on employee growth, Aareon provides opportunities to shape the future of property management through cutting-edge data solutions, while enjoying a hybrid work model that promotes work-life balance and a supportive culture.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives you a chance to demonstrate your expertise in Microsoft Fabric and SQL, making you stand out to employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data platforms and analytics. Think about how you can relate your past experiences to the role at Aareon, especially around building scalable data solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Aareon team.
We think you need these skills to ace Data Platform Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Platform Engineer role. Highlight your experience with Microsoft Fabric, SQL, and Python, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role at Aareon. Share your passion for data engineering and how you envision contributing to our customer-facing analytics and AI capabilities.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled ambiguous challenges in the past. We want to see your hands-on approach and how you bring structure to complex environments.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with Aareon.
How to prepare for a job interview at Aareon Group
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially with Microsoft Fabric and SQL. Be ready to discuss how you've built data models or ingestion pipelines in the past, as this will show your hands-on experience and understanding of the role.
✨Showcase Your Customer-Centric Mindset
Aareon is all about creating digital experiences for property professionals. Think of examples where you've put the customer first in your previous roles, especially when it comes to analytics and reporting. This will demonstrate that you understand the importance of user experience in data solutions.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on dimensional modelling, data contracts, and governance. Being able to articulate your thought process and problem-solving approach will set you apart from other candidates.
✨Embrace Ambiguity and Innovation
Since the role involves building from a blank slate, be prepared to discuss how you've tackled ambiguous situations in the past. Share your ideas on how to innovate within the data platform space, as Aareon values energetic individuals who can create scalable solutions.
