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- Tasks: Design and evolve data landscapes for innovative procurement and transformation initiatives.
- Company: Join a forward-thinking company revolutionising Corporate Services in London.
- Benefits: Hybrid working, competitive pay based on skills, and inclusive culture.
- Why this job: Shape the future of data and drive AI-driven automation in a dynamic environment.
- Qualifications: Experience in data modelling, SQL, and cloud platforms; passion for innovation required.
- Other info: Diverse and inclusive workplace that values every background and perspective.
The predicted salary is between 36000 - 60000 £ per year.
Are you ready to shape the future of data in a global transformation program? We are looking to find Senior Data Modellers to join our client on a contract, ideally someone who has experience in the Asset Management space. Our client is on a mission to revolutionise Corporate Services by streamlining procurement processes, implementing automation, and enabling robust reporting and compliance. At the heart of this change is data - and they need a strategic, technically adept Data Modeller to lead the way.
About the Role
As a Data Modeller, you'll design and evolve the data landscape for procurement and transformation initiatives. This isn’t just traditional modelling; it’s about creating modern, semantic, and ontological structures that enable AI-driven automation and future-proofed workflows. You’ll work closely with business and technology stakeholders to deliver outcome-focused solutions aligned with enterprise data strategy.
What You’ll Do
- Analyse and map complex data relationships across procurement systems.
- Design conceptual, logical, and physical data models for transformation programs.
- Develop semantic and ontological layers to support advanced analytics and AI.
- Define governance frameworks, data standards, and operating models.
- Ensure compliance with GDPR and regulatory requirements.
- Act as a trusted advisor, educating stakeholders on best practices.
What We’re Looking For
- Proven experience as a Data Modeller or Data Architect in enterprise environments.
- Expertise in relational and dimensional modelling, SQL, and data integration.
- Familiarity with semantic engines, ontologies, and knowledge graphs.
- Experience with cloud platforms (Azure, AWS, GCP) and modern data ecosystems.
- Strong communication skills and ability to translate technical concepts for non-technical audiences.
- Collaborative, outcome-focused mindset with a passion for innovation.
- Experience in the Asset Management industry.
- Data-related professional qualifications.
- Understanding of AI-driven workflows and automation strategies.
If you have the requisite skills and experience, can work 2-3 days each week in London and are interested in learning more, please Apply Immediately!
Head Resourcing is committed to being an inclusive business where diversity is valued and celebrated. Diversity to us includes but is not limited to educational background, socio-economic background, neurodiversity, age, marriage and civil partnership status, veteran status, gender, gender identity, gender reassignment, sexual orientation, disability, religion or belief, race and ethnicity. As such we welcome enquiries and applications from everyone. We will be happy to discuss with you any workplace adjustments you need in order to be at your best during the recruitment process.
Data Modeler in London employer: Head Resourcing
Contact Detail:
Head Resourcing 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 and asset management space. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best data models and projects. This will give you an edge when discussing your experience with recruiters and hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our 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 Modeller role. Highlight your experience in data modelling, especially in the Asset Management space, and showcase any relevant projects that demonstrate your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background aligns with our mission to revolutionise Corporate Services. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to mention your expertise in SQL, cloud platforms, and modern data ecosystems. We want to see how you can contribute to our innovative approach, so be specific about your technical abilities.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Head Resourcing
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and experiences related to data modelling. Be ready to discuss specific examples of how you've designed data models, especially in the context of procurement or asset management. This will show your expertise and help you connect your experience with what the company is looking for.
✨Brush Up on Technical Skills
Make sure you're comfortable with SQL, relational and dimensional modelling, and any cloud platforms mentioned in the job description. Practise explaining complex technical concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders during the interview.
✨Understand the Business Context
Research the company's mission and how they plan to revolutionise corporate services through data. Being able to articulate how your skills can contribute to their goals will set you apart. Think about how your experience aligns with their focus on automation and compliance.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data strategy, team dynamics, and how they envision the role of a Data Modeller evolving. This not only shows your interest but also helps you gauge if the company is the right fit for you.
