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- Tasks: Design and maintain data models that drive strategic decisions.
- Company: Join a diverse and inclusive team focused on innovative data solutions.
- Benefits: Enjoy flexible working options and a supportive work environment.
- Why this job: Be part of impactful projects that shape data governance and quality.
- Qualifications: Experience with data modelling tools and strong analytical skills required.
- Other info: We celebrate diversity and offer support throughout the recruitment process.
The predicted salary is between 28800 - 48000 £ per year.
Our client is seeking an experienced Data Modeller to play a pivotal role in designing and maintaining high-quality data models that support strategic decision-making and data-driven initiatives. This role is essential in ensuring data structures align with business objectives, industry standards, and governance frameworks.
Key Responsibilities
- Design, develop, and maintain conceptual, logical, and physical data models to meet evolving business needs.
- Ensure data models support data integrity, consistency, and security across systems.
- Define and uphold data modelling standards, methodologies, and best practices.
- Validate and reconcile data models to ensure accuracy and alignment with business requirements.
- Collaborate with data architects and stakeholders to deliver scalable, future-proof data solutions.
- Support data governance, lineage, and master data management (MDM) initiatives.
- Conduct data profiling to identify and address data quality issues.
Key Skills & Experience
- Proven expertise in developing and managing complex data models.
- Strong knowledge of data modelling tools, techniques, and database management systems.
- Experience designing and implementing robust database solutions.
- Familiarity with data governance, metadata management, and data quality frameworks.
- Ability to translate business requirements into effective data models.
- Excellent communication and stakeholder engagement skills.
- Strong analytical mindset with a structured, problem-solving approach.
- Hands-on experience with Microsoft Azure and Databricks is essential.
Reasonable Adjustments
Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Data Modeller employer: Sanderson Recruitment Plc
Contact Detail:
Sanderson Recruitment Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeller
✨Tip Number 1
Familiarise yourself with the latest data modelling tools and techniques. Being well-versed in industry-standard software will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the data modelling community. Attend relevant meetups or webinars, and engage on platforms like LinkedIn. Building connections can lead to valuable insights and potential referrals for the role.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully designed and implemented data models in previous roles. Highlighting specific projects will showcase your expertise and problem-solving skills to potential employers.
✨Tip Number 4
Stay updated on data governance and quality frameworks. Understanding these concepts is crucial for a Data Modeller, and being able to speak knowledgeably about them during interviews will set you apart from other candidates.
We think you need these skills to ace Data Modeller
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Modeller position. Tailor your application to highlight relevant experience and skills that align with the job description.
Highlight Relevant Experience: In your CV and cover letter, emphasise your proven expertise in developing and managing complex data models. Include specific examples of projects where you've designed, developed, or maintained data models that supported business objectives.
Showcase Technical Skills: Make sure to mention your proficiency with data modelling tools, database management systems, and hands-on experience with Microsoft Azure and Databricks. This will demonstrate your technical capability to meet the job's requirements.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for data modelling and how your analytical mindset can contribute to the company's goals. Address how you can support data governance and quality initiatives, as well as your ability to collaborate with stakeholders.
How to prepare for a job interview at Sanderson Recruitment Plc
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience with developing and managing complex data models. Highlight specific projects where you successfully designed data structures that aligned with business objectives.
✨Familiarise Yourself with Tools and Techniques
Make sure you know the data modelling tools and techniques relevant to the role. If you have hands-on experience with Microsoft Azure and Databricks, be ready to share how you've used these platforms in your previous work.
✨Demonstrate Your Problem-Solving Skills
Prepare examples that showcase your analytical mindset and structured approach to problem-solving. Discuss how you've tackled data quality issues or improved data integrity in past roles.
✨Engage with Stakeholders Effectively
Communication is key! Be ready to explain how you've collaborated with data architects and other stakeholders to deliver scalable data solutions. Show that you can translate business requirements into effective data models.
