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- Tasks: Own and evolve enterprise data models, ensuring clarity and consistency across the organisation.
- Company: Join a forward-thinking company that values data-driven decision-making.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a significant impact by shaping how data is structured and consumed across multiple domains.
- Qualifications: Strong experience in enterprise data modelling and semantic layer design is essential.
- Other info: Collaborative environment with a focus on innovation and career advancement.
We are seeking a Senior Data Modelling Specialist to take ownership of enterprise-level data models and semantic design within a complex, multi-domain data environment. This role is pivotal in bringing clarity, structure and consistency to how data is defined, modelled and consumed organisation-wide. Please note, this is not a generalist analytics or engineering position; it is specifically for a professional whose core expertise lies in data modelling.
Key Responsibilities
- Own and evolve enterprise data modelling standards.
- Design and maintain: Conceptual, Logical and Physical Data Models.
- Entity Relationship Diagrams (ERDs).
- Common / canonical data models.
- Define and govern the semantic layer underpinning reporting and analytics.
- Act as the modelling authority across multiple business domains.
- Translate complex business concepts into clear, reusable data structures.
- Collaborate closely with architecture, engineering and analytics teams to ensure consistency and reuse.
- Ensure models support both current reporting requirements and future platform decisions.
Essential Criteria (Non-Negotiable)
- Candidates must demonstrate strong experience in:
- Enterprise data modelling beyond individual tool proficiency.
- Conceptual, Logical and Physical modelling.
- Entity Relationship Diagrams (ERDs).
- Semantic layer design.
- Defining data structures that are reused across teams, rather than rebuilt per report.
- Operating within complex, multi-domain environments.
- Experience limited to report-level or dashboard-level modelling alone will not be sufficient.
Desirable (Not Essential)
- Exposure to formal modelling or semantic tools such as Erwin, Denodo, AtScale or similar.
- Experience working alongside enterprise or solution architecture teams.
- Familiarity with how models support downstream tools such as Power BI.
Senior Data Modeller in Worcester employer: SF Recruitment (Tech)
Contact Detail:
SF Recruitment (Tech) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Modeller in Worcester
✨Tip Number 1
Network like a pro! Reach out to professionals in the data modelling field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Senior Data Modeller role.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio that highlights your best data models and projects. When you’re in interviews, we want you to confidently discuss your work and how it aligns with the company’s needs.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors who understand data modelling. We believe this will help you articulate your experience and thought process clearly during the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Modeller in Worcester
Some tips for your application 🫡
Showcase Your Expertise: Make sure to highlight your experience in enterprise data modelling. We want to see how you've owned and evolved data models in complex environments, so don’t hold back on those details!
Be Clear and Concise: When describing your past projects, keep it straightforward. Use clear language to explain how you’ve translated complex business concepts into reusable data structures. We love clarity!
Tailor Your Application: Don’t just send a generic application. Tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We appreciate when candidates take the time to connect their background with our needs.
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 SF Recruitment (Tech)
✨Know Your Data Models Inside Out
Make sure you’re well-versed in enterprise data modelling concepts, especially the differences between conceptual, logical, and physical models. Be ready to discuss your past experiences with Entity Relationship Diagrams (ERDs) and how you've applied these in complex environments.
✨Showcase Your Semantic Layer Expertise
Prepare to explain how you’ve defined and governed semantic layers in previous roles. Think of specific examples where your work has improved reporting and analytics, and be ready to discuss how you ensure consistency across multiple business domains.
✨Collaboration is Key
Highlight your experience working with architecture, engineering, and analytics teams. Share examples of how you’ve collaborated to create reusable data structures and how this has benefited the organisation as a whole.
✨Future-Proof Your Models
Be prepared to discuss how your data models support not just current reporting needs but also future platform decisions. Think about how you can articulate your vision for evolving data models in line with organisational growth and technological advancements.
