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- Tasks: As a Data Modeller, you'll design and manage data models in enterprise environments.
- Company: Join a global recruitment specialist supporting clients across EMEA, APAC, US, and Canada.
- Benefits: Enjoy a hybrid work model and competitive daily rates with potential for extension.
- Why this job: This role offers hands-on experience with cutting-edge data tools and concepts in a dynamic environment.
- Qualifications: Proficiency in data modeling tools and strong understanding of data governance is essential.
- Other info: Candidates often get shortlisted within 48 hours, so act fast!
The predicted salary is between 36000 - 60000 £ per year.
Job Description
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Role Title: Data Modeller
Location: Glasgow (Hybrid)
Duration: Until 31/12/2025 with a possibility of extension
Rate: £492 per day Inside IR35
Role Description:
Data Modeller experienced in data modeling within enterprise environments.
Proficiency in data modeling tools (e.g., Erwin, dbt).
Strong understanding of data product concepts, including domain-driven design and data mesh.
Experience with relational, dimensional, and NoSQL data modeling.
Familiarity with cloud data platforms (e.g., Snowflake, AWS, Databricks).
Knowledge of data governance, metadata management, and data lineage.
Excellent communication and documentation skills.
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours
Data Modeler employer: eTeam
Contact Detail:
eTeam 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 knowledge of data modelling tools like Erwin and dbt. Being able to discuss your experience with these tools in detail during the interview will show that you're well-prepared and knowledgeable.
✨Tip Number 2
Familiarise yourself with cloud data platforms such as Snowflake, AWS, and Databricks. Having specific examples of how you've used these platforms in past projects can really set you apart from other candidates.
✨Tip Number 3
Understand the concepts of domain-driven design and data mesh thoroughly. Be ready to explain how these concepts apply to data modelling and how they can benefit an enterprise environment.
✨Tip Number 4
Prepare to discuss your approach to data governance and metadata management. Highlighting your understanding of data lineage will demonstrate your comprehensive grasp of the data lifecycle, which is crucial for this role.
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 a Data Modeller. Familiarise yourself with key concepts like data modeling tools, data governance, and cloud platforms mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your proficiency in data modeling tools such as Erwin or dbt, and any experience with relational, dimensional, and NoSQL data modeling.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for data modelling and your understanding of the company's needs. Mention specific projects or experiences that demonstrate your expertise in data product concepts and cloud data platforms.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a role that requires excellent communication and documentation skills.
How to prepare for a job interview at eTeam
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data modelling tools like Erwin and dbt. Highlight specific projects where you successfully implemented these tools, as this will demonstrate your proficiency and relevance to the role.
✨Understand Data Concepts
Familiarise yourself with key concepts such as domain-driven design and data mesh. Be ready to explain how these concepts apply to your previous work and how they can benefit the company's data strategy.
✨Discuss Cloud Platforms
Since familiarity with cloud data platforms like Snowflake, AWS, and Databricks is essential, prepare examples of how you've used these technologies in past roles. This will show your adaptability and readiness for the hybrid work environment.
✨Communicate Clearly
Excellent communication skills are crucial for this role. Practice articulating your thoughts clearly and concisely, especially when discussing complex data governance and metadata management topics. This will help you make a strong impression during the interview.
