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For Companies At a Glance
- Tasks: Shape data foundations and enable self-service analytics in a large organisation.
- Company: A leading asset-rich company in commercial real estate and infrastructure.
- Benefits: Competitive daily rate, flexible remote work, and impactful project involvement.
- Other info: Dynamic role with opportunities to drive innovation in data management.
- Why this job: Make a real impact on data modelling for 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.
Fully Remote Data 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 Fully Remote Data in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field 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 online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your skills in data modelling. Join relevant groups and engage with posts to get noticed by potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data modelling and governance. Be ready to discuss your past experiences and how they align with the role's requirements. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can give you an edge. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Fully Remote Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your experience with data modelling and any relevant projects you've worked on. We want to see how you can fit into our team!
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 your past work that align with the responsibilities outlined in the job description. We love a good story!
Showcase Your Communication Skills: Since the role involves collaborating with various teams, make sure to demonstrate your communication skills in your application. Whether it's through your writing style or examples of teamwork, we want to see how you can engage with different stakeholders.
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 the role. Plus, it shows you’re keen on joining our team 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 connect your technical skills to their strategic goals. Research the company’s current data initiatives and think about how you can contribute.
✨Communicate Clearly and Confidently
As a data modeler, you’ll need to collaborate with various stakeholders. Practice articulating your ideas clearly and be prepared to challenge assumptions constructively. Show that you can adapt your communication style to different audiences, 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 from inception to delivery. Use specific examples to illustrate your pragmatic approach to data modelling without heavy tools.