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- Tasks: Lead the design and development of enterprise-level data models for strategic initiatives.
- Company: Join Sanderson, a leader in technology and architecture, driving data-driven culture.
- Benefits: Enjoy a hybrid work model with 2-3 days in the office and competitive perks.
- Why this job: Make a real impact by building scalable data architecture in a collaborative environment.
- Qualifications: Proven experience in data modelling, especially with ERWIN and Databricks.
- Other info: This is a mid-senior level full-time role in the exciting field of data infrastructure.
The predicted salary is between 36000 - 60000 £ per year.
Our client is seeking a highly skilled and experienced Data Modeller to lead the design and development of enterprise-level data models that underpin strategic initiatives and support a data-driven culture. This is a key role where your expertise will directly contribute to building robust, scalable, and future-ready data architecture. This is a hybrid role with 2-3 days in the office per week.
Key Responsibilities
- Design and maintain conceptual, logical, and physical data models to align with evolving business requirements.
- Develop detailed Entity Relationship (ER) diagrams and database designs using tools such as ERWIN.
- Translate business needs into structured data solutions through close collaboration with stakeholders and technical teams.
- Gather and analyse requirements to inform effective data modelling strategies.
- Create comprehensive data mapping documentation and functional specifications for data engineering teams working within Databricks.
- Uphold data integrity, security, and quality across systems.
- Define and advocate for best practices in data modelling standards and methodologies.
- Support data governance, data lineage, and master data management (MDM) initiatives.
- Conduct data profiling and remediate data quality issues proactively.
Skills & Experience
- Proven experience in conceptual, logical, and physical data modelling in enterprise environments.
- Proficient in data modelling tools, especially ERWIN, with a strong command of ER diagram development.
- Skilled in requirements gathering, analysis, and documentation for engineering implementation.
- Familiarity with data governance frameworks, metadata management, and data quality best practices.
- Strong communication and stakeholder management skills, able to work across technical and non-technical teams.
- Hands-on experience with Databricks.
- Analytical thinker with a structured, problem-solving approach and an eye for detail.
Data Modeler employer: Sanderson
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Make sure to brush up on your skills with ERWIN and other data modelling tools. Being able to demonstrate your proficiency in these tools during discussions will set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with the specific data governance frameworks and best practices mentioned in the job description. Showing that you understand these concepts can help you engage more effectively with stakeholders.
✨Tip Number 3
Prepare to discuss your experience with Databricks and how you've used it in previous roles. Highlighting relevant projects can showcase your hands-on experience and problem-solving skills.
✨Tip Number 4
Network with professionals in the data modelling field, especially those who have worked with Sanderson or similar companies. A referral can significantly increase your chances of landing an interview.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Modeler position. Familiarise yourself with key terms like ER diagrams, data governance, and Databricks to demonstrate your knowledge.
Tailor Your CV: Customise your CV to highlight relevant experience in data modelling, especially with tools like ERWIN. Include specific examples of past projects where you've designed data models or collaborated with stakeholders.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data architecture and your ability to contribute to a data-driven culture. Mention your analytical skills and how they align with the company's goals.
Highlight Soft Skills: In your application, emphasise your communication and stakeholder management skills. Provide examples of how you've successfully worked with both technical and non-technical teams to achieve project goals.
How to prepare for a job interview at Sanderson
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience with conceptual, logical, and physical data modelling. Highlight specific projects where you used ERWIN and developed ER diagrams, as this will demonstrate your technical proficiency.
✨Communicate Effectively with Stakeholders
Since the role involves close collaboration with both technical and non-technical teams, practice explaining complex data concepts in simple terms. This will show your strong communication skills and ability to bridge gaps between different stakeholders.
✨Demonstrate Problem-Solving Skills
Prepare examples of how you've approached data quality issues or challenges in previous roles. Discuss your analytical thinking and structured approach to problem-solving, as these are key traits for a Data Modeller.
✨Familiarise Yourself with Databricks
If you have hands-on experience with Databricks, be ready to discuss it. If not, take some time to learn about its functionalities and how it integrates with data engineering processes, as this knowledge could set you apart from other candidates.
