At a Glance
- 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 and efficiency.
- Benefits: Competitive pay, collaborative team environment, and impactful work on data architecture.
- Other info: Opportunity to work with legacy datasets and influence data strategy across the business.
- Why this job: Shape the future of data in a high-profile company and make a real impact.
- Qualifications: Strong data modelling skills and experience with SQL and Azure environments.
The predicted salary is between 60000 - 80000 € 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) employer: Harnham - Data & Analytics Recruitment
This market-leading real estate investment business offers an exceptional work environment where data-driven decision-making is at the forefront of their operations. Employees benefit from a collaborative culture that encourages innovation and professional growth, with opportunities to influence the development of modern data platforms. Located in a dynamic sector, this role not only allows you to make a significant impact on the company's data architecture but also provides a chance to work alongside industry experts in a supportive and engaging atmosphere.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeller (Contractor)
✨Tip Number 1
Network like a pro! Reach out to people in the real estate and data modelling sectors. Use LinkedIn to connect with industry professionals, join relevant groups, and engage in discussions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews! Research the company and its data platforms like Databricks and Microsoft Fabric. Be ready to discuss how your experience with complex datasets can help them optimise their portfolio. Show them you’re not just another candidate, but the perfect fit!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role. Plus, it’s a great chance to reiterate why you’re the best choice!
✨Tip Number 4
Apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your skills. Plus, it helps us keep track of your application better. So, don’t miss out – get your application in and let’s make some data magic happen together!
We think you need these skills to ace Data Modeller (Contractor)
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 and how you can help us transform our data landscape. Be specific about your experience with SQL and Azure environments.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex datasets in the past. We love seeing candidates who can bring clarity and structure to chaos, so don’t hold back on those success stories!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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.
✨Understand the Business Context
Familiarise yourself with the specific challenges and requirements of the real estate sector. Think about how leasing data and asset performance metrics can be translated into structured data models that meet business needs.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL-based modelling experience. You might be asked to solve a problem or explain how you've worked with complex datasets, so have some examples ready that highlight your technical prowess.
✨Engage with Stakeholders
Since this role involves working closely with both technical and business stakeholders, think of examples where you've successfully collaborated with different teams. Be ready to discuss how you can bridge the gap between data engineering and business requirements.
