At a Glance
- Tasks: Transform complex data into structured models and collaborate with stakeholders.
- Company: High-profile real estate investment business focused on modern data solutions.
- Benefits: Opportunity to shape data architecture and work in a collaborative environment.
- Other info: Join a communicative team and influence large-scale asset data management.
- Why this job: Make a lasting impact on data foundations in a dynamic industry.
- Qualifications: Strong data modelling experience, SQL skills, and real estate knowledge.
The predicted salary is between 50000 - 70000 € per year.
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. 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
- 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
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
Join a leading real estate investment business that values innovation and collaboration, offering you the chance to significantly influence the data landscape. With a focus on employee growth and a supportive work culture, you'll have access to opportunities for professional development while working alongside a team of experts in a dynamic environment. This role not only allows you to make a meaningful impact through your data modelling skills but also positions you at the forefront of transforming complex datasets into structured, reusable frameworks.
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 space. 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 projects. This is your chance to demonstrate how you’ve transformed complex datasets into structured, usable formats. A visual representation can really make you stand out!
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL skills and be ready to discuss how you’ve tackled legacy datasets in the past. Think of examples where you’ve collaborated with stakeholders to define data structures – this will show you’re the perfect fit for the role.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you that Data Modeller role!
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 property contexts, and don’t forget to mention any work with complex datasets!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain how your skills align with our needs, particularly in transforming fragmented data landscapes into structured models. Show us your passion for data and real estate!
Showcase Your Technical Skills:We want to see your SQL prowess! Be sure to include specific examples of how you've used SQL in your previous roles, especially in Azure environments. This will help us understand your technical capabilities.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Harnham
✨Know Your Data Models
Make sure you brush up on your data modelling skills, especially logical and physical models. Be ready to discuss how you've designed and developed these in the past, and think about specific examples from your experience that showcase your ability to work with complex datasets.
✨Understand the Business Context
Since this role is highly business-facing, it's crucial to understand the real estate and leasing landscape. Familiarise yourself with common terminology and challenges in the industry, so you can confidently translate business requirements into structured data models during the interview.
✨Engage with Stakeholders
Prepare to discuss how you've partnered with both technical and business stakeholders in previous roles. Think of examples where you successfully defined data modelling needs and how you ensured clarity and structure in your communication with them.
✨Showcase Your Technical Skills
Be ready to talk about your SQL experience and any work you've done in Azure environments, particularly Databricks and Fabric. Highlight specific projects where you’ve implemented scalable solutions and how you tackled challenges with legacy datasets.
