Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape data foundations and enable self-service analytics in a complex organisation.
- Company: A leading asset-rich organisation in commercial real estate and infrastructure.
- Benefits: Competitive daily rate, flexible work environment, and impactful projects.
- Other info: Opportunity to drive innovation in a dynamic, evolving data landscape.
- Why this job: Make a real impact on data modelling and future AI capabilities.
- Qualifications: Experience in designing enterprise-level data models and collaborating with diverse teams.
This is a high-impact freelance opportunity to shape the data foundations of a large, complex organisation as it consolidates fragmented platforms and enables self-service analytics and AI at scale. You will play a pivotal role in defining how enterprise data is structured, governed, and consumed, working at the intersection of business, engineering, and governance.
The Company
They are a large, asset-rich organisation operating across multiple European markets within the commercial real estate and infrastructure space. The business manages complex financial, operational, and customer data across a diverse portfolio and is investing heavily in modern data capabilities. With strong cash generation and long-term growth initiatives, data quality and modelling are central to their future strategy.
The Role and Deliverables
- Lead the design of enterprise logical and physical data models aligned to a single core ERP and wider business domains.
- Work through a defined backlog, breaking down high-level requirements into clear modelling deliverables and standards.
- Partner closely with data engineers to translate logical models into scalable physical implementations across the SQL, Databricks, and Fabric ecosystem.
- Define a repeatable, "cookie-cutter" approach to data modelling that can be extended across additional business areas.
- Collaborate with business analysts, governance, and data teams to establish modelling standards and best practices.
- Deliver a robust, extensible data model within the first six months that supports current reporting needs and future AI enablement.
Your Skills & Experience
- Strong experience designing enterprise-level logical and physical data models within complex organisations.
- Ability to operate in early-stage or evolving data environments without heavy modelling tools, using pragmatic approaches.
- Experience working closely with data engineers, governance teams, and business stakeholders to align models to real-world use cases.
- Confident, proactive communicator who can challenge constructively, stand their ground when needed, and remain sensitive to different stakeholder perspectives.
- Self-starter mindset, able to take ownership of ambiguous problems and drive them through to delivery.
How to Apply
Apply now to explore this contract opportunity and discuss how you could help shape a scalable, future-ready data platform.
Data Modeler 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 Modeler in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data modelling space and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Get your portfolio ready! Showcase your best data models and projects. Having a solid portfolio can really set you apart during interviews, so make sure it highlights your skills and experience in enterprise-level data modelling.
✨Tip Number 3
Practice your pitch! Be prepared to explain your approach to data modelling and how you've tackled complex problems in the past. This will help you communicate your value effectively during interviews.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting opportunities waiting for you. By applying directly, you’ll get noticed quicker and can show us you’re serious about joining the team.
We think you need these skills to ace Data Modeler in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Modeler role. Highlight your experience with enterprise-level data models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've tackled similar challenges in the past, and don't forget to show your enthusiasm for the opportunity at StudySmarter.
Showcase Your Communication Skills: As a Data Modeler, you'll need to communicate effectively with various stakeholders. In your application, demonstrate your ability to convey complex ideas clearly. We love candidates who can challenge constructively while being sensitive to different perspectives!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Models Inside Out
Make sure you’re well-versed in both logical and physical data models. Be ready to discuss your past experiences designing these models, especially in complex environments. Prepare examples that showcase how your work has directly impacted data quality and governance.
✨Understand the Business Context
Familiarise yourself with the commercial real estate and infrastructure sectors. Knowing how data supports business operations will help you align your modelling strategies with the company's goals. Research the organisation’s current data challenges and think about how you can address them.
✨Collaborate Like a Pro
Highlight your experience working with data engineers and business analysts. Be prepared to discuss how you’ve successfully partnered with different teams to translate high-level requirements into actionable data models. Show that you can communicate effectively across various stakeholders.
✨Be Ready for Problem-Solving
Expect questions that assess your ability to tackle ambiguous problems. Think of scenarios where you had to take ownership of a challenging data issue and drive it to resolution. Demonstrating a self-starter mindset will resonate well with the interviewers.