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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.
SQL 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 SQL Data in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that SQL Data gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling projects. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled complex data challenges in the past and how you can contribute to their team.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace SQL 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 passionate about data modelling and how your background aligns with our needs. Keep it concise but impactful – we love a good story!
Showcase Your Communication Skills: Since this role involves collaboration with various teams, make sure to demonstrate your communication skills in your application. Share examples of how you've successfully worked with stakeholders in the past – we value a proactive communicator!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any updates. Plus, it shows you're keen to join us at StudySmarter!
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 enterprise-level logical and physical data models. Be ready to discuss your past experiences in designing these models, especially in complex organisations. Highlight specific projects where you’ve successfully implemented data modelling standards.
✨Understand the Business Context
Familiarise yourself with the commercial real estate and infrastructure sectors. Understanding how data impacts business decisions in these areas will help you connect your technical skills to real-world applications. This will show that you’re not just a techie but also someone who understands the bigger picture.
✨Communicate Proactively
Prepare to demonstrate your communication skills during the interview. Think of examples where you’ve effectively collaborated with data engineers, governance teams, and business stakeholders. Being able to articulate your thoughts clearly and constructively challenge ideas will set you apart.
✨Show Your Self-Starter Attitude
Be ready to share instances where you took ownership of ambiguous problems and drove them to resolution. Employers love candidates who can navigate uncertainty and deliver results. Prepare a few stories that showcase your self-starter mindset and problem-solving abilities.