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- Tasks: Design and maintain data models that drive analytics and operational efficiency.
- Company: Join a public sector regulator focused on financial resilience and controls.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by shaping data structures that support critical business decisions.
- Qualifications: Experience in data modelling and translating business needs into structured artefacts.
- Other info: Collaborative environment with a focus on innovation and cross-functional teamwork.
The predicted salary is between 48000 - 72000 £ per year.
Our client a public sector regulator are looking for a Senior Data Modeler to join on a contract bases.
The role will sit within the Markets Data Office team within the Financial Resilience and Controls Directorate in the Markets group. This role is critical to enabling consistent, scalable, and business aligned data structures that support analytics, reporting, and operational efficiency. You will be working on projects and updating models , the ability to create and describe conceptual models to a non- tech audience.
You will be responsible for designing and maintaining the markets-wide conceptual, logical and physical data models for the directorate general. They work with business users and subject matter experts to ensure alignment of the model with current regulatory data needs. You will also collaborate with colleagues to ensure the alignment of the Markets data model with the enterprise data model being developed for the organisation.
Key Responsibilities
- Develop and maintain the Markets strategic data model (conceptual) to provide a high level view of data domains, entities and their relationships, and related logical data models with detailed attributes, data relationships, and normalisation rule, ensuring alignment with business rules and objectives.
- Work closely with business stakeholders to understand data requirements and translate them into structured data model artefacts that meet organisational needs
- Ensure conceptual and logical data models are reusable, scalable and adaptable to evolving business demands
- Partner with business stakeholders, SMEs and enterprise data architects to validate data models and incorporate feedback.
- Collaborate with technology colleagues on model implementation in the data ecosystem housing Markets data.
- Support data services created and delivered by the Markets Data Office to help Markets data users do data better.
Essential Qualifications
- Strong experience developing conceptual data models, defining data domains, entities and their relationships.
- Strong experience of translating business users needs to structured data model artefacts.
- Demonstrable experience using data modelling tools and industry standard techniques to capture and document data artefacts.
- Demonstrable experience working successfully in cross-functional teams and collaborating with a wide variety of stakeholders.
- Ability to communicate in technical detail on topics of data lineage, data usage, and data structures
- Preference for someone to have Erwin experience
This role is onsite 1-2 days per week in either London/Cardiff or Glasgow offices.
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Senior Data Modeler employer: Investigo Limited
Contact Detail:
Investigo Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Modeler
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data modelling or related fields. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data modelling. We recommend practising common interview questions and scenarios you might face, so you can showcase your expertise confidently.
✨Tip Number 3
Don’t underestimate the power of a strong online presence! Update your LinkedIn profile with relevant projects and skills, and engage with content related to data modelling. This can help you get noticed by recruiters looking for someone just like you.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Modeler
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Senior Data Modeler role. Highlight your experience with conceptual data models and any relevant tools you've used, like Erwin. 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 translated business needs into structured data models and how you’ve collaborated with stakeholders.
Showcase Your Communication Skills: Since you'll be working with non-tech audiences, it's crucial to demonstrate your ability to explain complex concepts simply. In your application, mention instances where you've successfully communicated technical details to diverse teams.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in directly!
How to prepare for a job interview at Investigo Limited
✨Know Your Data Models Inside Out
Make sure you’re well-versed in conceptual, logical, and physical data models. Be ready to discuss how you've developed these in the past and how they align with business needs. Brush up on your Erwin experience too, as it could come up during the chat!
✨Speak Their Language
Since you'll be explaining complex data concepts to non-tech audiences, practice simplifying your explanations. Use relatable examples to demonstrate your understanding of data domains and relationships, making it easier for everyone to grasp.
✨Showcase Your Collaboration Skills
Prepare to share examples of how you've worked with cross-functional teams and stakeholders. Highlight specific instances where you’ve gathered requirements and translated them into structured data models, showcasing your ability to bridge the gap between technical and non-technical teams.
✨Be Ready for Scenario Questions
Expect questions that ask how you would handle specific data modelling challenges or stakeholder feedback. Think through potential scenarios beforehand and have a few strategies ready to demonstrate your problem-solving skills and adaptability.
