At a Glance
- Tasks: Design and implement enterprise data models for a large organisation's analytics and AI needs.
- Company: A leading asset-rich organisation in commercial real estate and infrastructure across Europe.
- Benefits: Competitive daily rate, flexible work arrangements, and the chance to shape future data strategies.
- Other info: Opportunity for professional growth and to work on cutting-edge data projects.
- Why this job: Make a significant impact on data foundations and drive innovation in a dynamic environment.
- Qualifications: Experience in enterprise data modelling and collaboration with engineering and governance 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 employer: Harnham - Data & Analytics Recruitment
As a leading player in the commercial real estate and infrastructure sector, this large organisation offers an exceptional work environment for Data Modelers looking to make a significant impact. With a strong focus on employee growth and modern data capabilities, you will benefit from a collaborative culture that encourages innovation and professional development, all while working in the vibrant city of London. The opportunity to shape the future of data management within a financially robust company makes this role not just a job, but a meaningful career path.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler
✨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
Show off your skills! Create a portfolio showcasing your previous data models and projects. This will give potential employers a clear idea of what you can bring to the table, especially in complex environments.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Be ready to explain your modelling process and how you've collaborated with data engineers and business stakeholders in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities that could be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly 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, especially in complex organisations.
Showcase Your Communication Skills:As a Data Modeler, you'll need to collaborate with various teams. Make sure your application reflects your ability to communicate effectively. We love seeing candidates who can articulate their thoughts clearly and confidently!
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 - 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.
✨Communicate Clearly and Confidently
As a Data Modeler, you’ll need to collaborate with various teams. Practice articulating your ideas clearly and be prepared to challenge assumptions constructively. Show that you can adapt your communication style to different stakeholders, whether they’re technical or non-technical.
✨Showcase Your Problem-Solving Skills
Be ready to discuss ambiguous problems you've tackled in the past. Highlight your self-starter mindset and how you’ve driven projects to completion without heavy modelling tools. Think of specific examples where your pragmatic approach made a difference in delivering data solutions.
