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- Tasks: Transform complex data into structured models for a leading real estate investment business.
- Company: Market-leading real estate investment firm with a focus on innovation.
- Benefits: Competitive pay, collaborative team, and the chance to shape data foundations.
- Other info: Join a dynamic team and contribute to a modern data function.
- Why this job: Make a real impact by influencing data structure across a large asset portfolio.
- Qualifications: Experience in data modelling and SQL, preferably in Azure environments.
The predicted salary is between 50000 - 65000 £ per year.
The Company
This market-leading real estate investment business is a major player across the UK and Europe, managing a high-value portfolio of logistics and industrial assets. With a strong focus on leasing, operational efficiency, and long-term asset performance, data is at the heart of how they optimise their portfolio. As they continue to scale, they are investing heavily in modern data platforms (Databricks + Microsoft Fabric) to unlock deeper insight across leasing, asset performance, and financial reporting.
The Role
They are looking for a Data Modeller to play a critical role in transforming a currently fragmented and complex data landscape into a scalable, structured, and reusable data foundation. This is a highly business-facing role, ideal for someone who understands real estate or property data and can translate that into clear, structured data models. You will define and implement logical and physical data models, helping to create a standardised "cookie-cutter" modelling approach that can be reused across multiple use cases, from core financial reporting to operational leasing insights. A key part of the role will involve working with complex, legacy datasets and bringing structure and consistency, ensuring data is properly categorised (for example leasing costs and asset-level data) and usable across the business.
Key Responsibilities
- Design and develop conceptual, logical, and physical data models
- Create a standardised and reusable modelling framework across the business
- Translate real estate and leasing business requirements into structured data models
- Work closely with data engineers to enable scalable implementation
- Partner with stakeholders to define how data should be modelled and consumed
- Support use cases across financial reporting, leasing analysis, and asset performance
- Bring clarity and structure to legacy and complex datasets
- Contribute to building a centralised data modelling function
Your Skills & Experience
- Strong experience in data modelling (logical and physical)
- Proven ability to work with complex or legacy datasets
- Strong SQL-based modelling experience
- Experience working in Azure environments (Databricks and Fabric preferred)
- Ability to engage with both technical and business stakeholders
- Experience creating reusable, scalable data models
Desirable
- Background in real estate, property, or other asset-heavy industries
- Experience working with leasing data, asset management, or property portfolios
- Understanding of financial data in a real estate context
Why Apply
- Work with a high-profile real estate investment business
- Play a key role in shaping a modern, centralised data function
- Influence how data is structured across a large-scale asset portfolio
- Join a highly collaborative and communicative team
- Opportunity to leave a lasting impact through reusable data architecture
Interview Process
45-minute initial discussion
If you're a Data Modeller with real estate experience looking to step into a role where you can genuinely shape data foundations, this is a strong opportunity to make an impact.
Data Modeller (Contractor) in London employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller (Contractor) in London
✨Tip Number 1
Network like a pro! Reach out to people in the real estate and data modelling sectors. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and any projects you've worked on. This is your chance to demonstrate how you can transform complex datasets into structured, reusable models. Make it easy for potential employers to see your value!
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling knowledge. Be ready to discuss how you've tackled legacy datasets in the past. Practice explaining your thought process clearly, as you'll need to engage with both technical and business stakeholders.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented Data Modellers. By applying directly, you’ll ensure your application gets the attention it deserves. Plus, you’ll be part of a team that values collaboration and innovation in data architecture!
We think you need these skills to ace Data Modeller (Contractor) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Modeller. Highlight your experience with data modelling, especially in real estate or asset-heavy industries. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data modelling and how you can contribute to our mission. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Technical Skills: Don’t forget to highlight your SQL and Azure experience! We’re looking for someone who can work with complex datasets, so make sure to include specific examples of how you've tackled similar challenges in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Models
Make sure you brush up on your knowledge of conceptual, logical, and physical data models. Be ready to discuss how you've designed and developed these in the past, especially in relation to real estate or asset-heavy industries.
✨Showcase Your SQL Skills
Since strong SQL-based modelling experience is crucial for this role, prepare to demonstrate your SQL skills. Bring examples of complex queries you've written or data transformations you've performed that relate to leasing or asset management.
✨Understand the Business Context
This role is highly business-facing, so it's important to understand how data impacts leasing, asset performance, and financial reporting. Be prepared to discuss how you've translated business requirements into structured data models in previous roles.
✨Engage with Stakeholders
Highlight your ability to work with both technical and business stakeholders. Prepare examples of how you've partnered with different teams to define data modelling needs and ensure clarity and structure in complex datasets.