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For Companies At a Glance
- 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 in data modelling and strong analytical skills required.
- Other info: We celebrate diversity and support applicants with adjustments during recruitment.
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.
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 to connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully designed and implemented data models. Be ready to explain your thought process and how your contributions led to improved data integrity and business outcomes.
✨Tip Number 4
Showcase your analytical mindset by discussing how you approach problem-solving in data-related scenarios. Highlight any experience you have with data governance and quality frameworks, as these are crucial for the role.
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, techniques, and database management systems. If you have hands-on experience with Microsoft Azure and Databricks, be sure to highlight this as it is essential for the role.
Communicate Effectively: Since excellent communication and stakeholder engagement skills are crucial for this role, ensure your application reflects your ability to translate business requirements into effective data models. Use clear and concise language throughout your application.
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 designed data structures that aligned with business objectives, and be ready to explain the methodologies you used.
✨Demonstrate Knowledge of Tools and Techniques
Familiarise yourself with the data modelling tools and database management systems mentioned in the job description. If you've worked with Microsoft Azure and Databricks, share examples of how you've utilised these platforms to create robust database solutions.
✨Communicate Effectively with Stakeholders
Since excellent communication skills are crucial for this role, practice articulating your thoughts clearly. Prepare to discuss how you've collaborated with data architects and other stakeholders to deliver scalable data solutions in previous roles.
✨Prepare for Data Quality Discussions
Expect questions about data governance and quality frameworks. Be ready to talk about your experience with data profiling and how you've identified and addressed data quality issues in past projects.
