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- Tasks: Design and optimise data models for analytics and reporting needs.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Why this job: Shape the future of data management and make a real impact.
- Qualifications: Experience in data modelling, SQL, and database design required.
- Other info: Collaborative environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Data Modeller to design, optimize, and maintain scalable data models that support analytics, reporting, and application needs. The ideal candidate will have strong experience in data modelling techniques, database design, and ETL/ELT workflows, along with proficiency in SQL and modern data platforms.
Key Responsibilities
- Design and maintain conceptual, logical, and physical data models.
- Develop data dictionaries, metadata standards, and modelling documentation.
- Optimize database structures for performance, scalability, and storage efficiency.
- Collaborate with engineering teams to implement models in data warehouses/lakes.
- Ensure data quality, consistency, and governance across systems.
- Support ETL/ELT flow design and integration with modelling structures.
- Work with stakeholders to translate business requirements into data models.
Required Skills
- Strong understanding of data modelling concepts (3NF, Star/Snowflake schemas).
- Expertise in SQL and relational database design.
- Experience with data warehouses/lakes (Snowflake, BigQuery, Redshift, etc.).
- Knowledge of ETL/ELT pipelines and data integration tools.
- Familiarity with data governance, metadata, and master data management.
- Hands‐on with modelling tools (Erwin, Visio, Lucidchart, etc.).
Data Modeler in London employer: 9NEXUS
Contact Detail:
9NEXUS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data modelling field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling scenarios. Be ready to discuss how you've tackled challenges in the past, especially around ETL/ELT workflows and database optimisation.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Modellers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Modeler in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data modelling techniques and database design. We want to see how your skills align with the job description, so don’t be shy about showcasing your SQL expertise and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Data Modeller role. Share specific examples of how you've designed and optimised data models in the past, and how you’ve collaborated with engineering teams to implement them.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with modelling tools like Erwin or Lucidchart. We love seeing candidates who are not only familiar with data governance and ETL/ELT workflows but can also demonstrate their practical application.
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 shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at 9NEXUS
✨Know Your Data Modelling Concepts
Make sure you brush up on your data modelling concepts like 3NF, Star, and Snowflake schemas. Be ready to discuss how you've applied these techniques in past projects, as this will show your depth of knowledge and practical experience.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL expertise during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice common SQL scenarios and be ready to explain your thought process.
✨Familiarise Yourself with Data Platforms
Since the role involves working with data warehouses and lakes like Snowflake, BigQuery, and Redshift, make sure you understand their unique features. If possible, share examples of how you've used these platforms to enhance data models or improve performance.
✨Collaborate and Communicate
Highlight your ability to work with engineering teams and stakeholders. Prepare examples of how you've translated business requirements into data models, and be ready to discuss how you ensure data quality and governance across systems.