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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: Competitive pay based on skills, hybrid working, 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 with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ 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 employer: Head Resourcing
Contact Detail:
Head Resourcing 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 and asset management space. Attend industry meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. Use platforms like GitHub to share your work. This gives potential employers a tangible sense of what you can do, especially in the context of AI-driven automation.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms. Remember, you’ll be working with non-technical stakeholders, so being able to translate your expertise is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making the application process smooth and straightforward. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you that Data Modeller role!
We think you need these skills to ace Data Modeler
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 at StudySmarter. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to mention your expertise in SQL, cloud platforms, and any experience with semantic engines or ontologies. We want to see how you can contribute to our innovative data landscape!
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’s super easy!
How to prepare for a job interview at Head Resourcing
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your knowledge of data modelling concepts, especially in the context of procurement systems. Be ready to discuss your experience with relational and dimensional modelling, as well as any specific projects you've worked on that relate to the Asset Management industry.
✨Showcase Your Technical Skills
Prepare to demonstrate your technical prowess with SQL and data integration tools. You might be asked to solve a problem or explain how you would approach a specific data challenge, so think through some scenarios in advance and be ready to articulate your thought process clearly.
✨Communicate Like a Pro
Since you'll need to work closely with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Think about examples where you've successfully communicated technical information to a non-technical audience and be prepared to share those stories.
✨Understand the Bigger Picture
Familiarise yourself with the company's mission to revolutionise Corporate Services and how data plays a crucial role in that transformation. Be ready to discuss how your skills can contribute to their goals, particularly in relation to AI-driven automation and compliance with GDPR.