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- Tasks: Design and deliver enterprise-grade data models for warehouses, lakes, and vaults.
- Company: Join a leading organisation in the London markets, focused on innovative data solutions.
- Benefits: Enjoy fully remote work with occasional trips to the London office.
- Why this job: Be part of a hands-on role that directly impacts data strategy and governance.
- Qualifications: 5+ years as a Data Modeler with strong experience in Data Vault modelling.
- Other info: Ideal for those passionate about data transformation and modern methodologies.
The predicted salary is between 48000 - 72000 £ per year.
Data Modeler – ETL, Data Warehouses, QLIK
Job type: Contract
Town/City: London
County: Remote
Business Sector: IT
Job ref: BBBH153103
Post Date: August 18, 2025
+ Fully remote – occasional trip into London office
Key Skills:
+ Data Transformation & ETL – QLIK
+ AWS, other Cloud
We\’re looking for a dedicated Data Modeler to join a leading organisation in the London markets. This is a hands-on contract role (not an Architect, not a Developer-who-dabbles, not a Manager-in-hiding). You\’ll be laser-focused on designing and delivering enterprise-grade data models across warehouses, lakes, and vaults.
The Role
You\’ll be responsible for:
Designing and developing conceptual, logical, and physical data models .
Implementing models across RDBMS, ODS, data marts, and data lakes (SQL/NoSQL).
Translating business needs into robust, long-term data models.
Applying Data Vault 2.0 techniques in real-world implementations.
Supporting metadata management, governance, and best practices with tools like Erwin or ER/Studio .
What We\’re Looking For (Must-Haves)
5+ years hands-on experience as a Data Modeler (your CV should scream \”Data Modeler,\” not hide it in bullet 17).
2+ years hands-on Data Vault modelling.
Strong background in data warehouses, data lakes, and enterprise big data platforms in multi-data-centre contexts.
Proficiency with metadata management and data modelling tools (Erwin, ER/Studio, or similar).
Nice-to-Haves
ETL/Data Transformation experience – ideally Qlik Compose or AWS Glue (alternatives like DataStage, SSIS acceptable).
Familiarity with modern dev methodologies (Agile/Scrum, TDD).
Knowledge of testing tools, scripting, and data cleansing techniques.
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Data Modeler - ETL, Data Warehouses, QLIK employer: CBSbutler Ltd.
Contact Detail:
CBSbutler Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler - ETL, Data Warehouses, QLIK
✨Tip Number 1
Make sure to showcase your hands-on experience with Data Vault modelling in your conversations. Highlight specific projects where you've successfully implemented these techniques, as this will resonate well with our hiring team.
✨Tip Number 2
Familiarise yourself with the tools we use, like Erwin or ER/Studio. If you can demonstrate your proficiency with these during discussions, it will give you a significant edge over other candidates.
✨Tip Number 3
Network with professionals in the data modelling field, especially those who have experience with QLIK and AWS. Engaging in relevant online communities or forums can provide insights and connections that may help you stand out.
✨Tip Number 4
Prepare to discuss how you've translated business needs into data models in previous roles. Real-world examples will illustrate your ability to align technical skills with business objectives, which is crucial for this position.
We think you need these skills to ace Data Modeler - ETL, Data Warehouses, QLIK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Data Modeler prominently. Use specific examples that demonstrate your hands-on experience with data modelling, ETL processes, and tools like QLIK.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data modelling and how your skills align with the requirements of the role. Mention your experience with Data Vault 2.0 and any relevant projects you've worked on.
Showcase Relevant Skills: Clearly list your technical skills related to data warehouses, lakes, and metadata management tools. Make sure to include your proficiency with Erwin or ER/Studio, as well as any ETL/Data Transformation experience.
Follow Application Instructions: Carefully read the job posting for any specific application instructions. Ensure you submit all required documents and format them according to the company's guidelines before applying through our website.
How to prepare for a job interview at CBSbutler Ltd.
✨Showcase Your Data Modelling Experience
Make sure to highlight your hands-on experience as a Data Modeler. Be prepared to discuss specific projects where you designed and developed data models, especially focusing on your use of Data Vault 2.0 techniques.
✨Demonstrate Your ETL Knowledge
Since the role requires ETL experience, be ready to talk about your familiarity with tools like Qlik Compose or AWS Glue. Share examples of how you've transformed data and implemented ETL processes in previous roles.
✨Understand the Business Needs
Prepare to explain how you translate business requirements into data models. Think of instances where you successfully aligned technical solutions with business objectives, showcasing your ability to bridge the gap between data and business needs.
✨Familiarise Yourself with Metadata Management Tools
As metadata management is crucial for this role, brush up on your knowledge of tools like Erwin or ER/Studio. Be ready to discuss how you've used these tools in past projects to support governance and best practices.
