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For Companies At a Glance
- Tasks: Design and develop data models that drive analytics and business intelligence.
- Company: Leading tech firm in London with a focus on innovation.
- Benefits: Competitive pay, flexible work setup, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of data architecture.
- Qualifications: Expertise in data modeling and strong SQL skills required.
- Other info: Collaborative environment with a focus on cutting-edge technologies.
The predicted salary is between 60000 - 84000 £ per year.
Location: London
Duration: 10/07/2026
Work setup: 3 days onsite/week
Rate inside IR35: £358
Responsibilities
- Expertise in data modeling methodologies, including conceptual, logical, physical, and dimensional modeling (Kimball/Inmon).
- Proven experience designing enterprise semantic layers, particularly for lakehouse architectures.
- Strong understanding of data warehousing principles, star/snowflake schemas, fact/slowly changing dimensions, and canonical data models.
- Ability to translate complex business requirements into scalable, well-structured data models that support analytics, BI, ML, and operational use cases.
- Experience collaborating with data engineers to guide physical implementation, ensuring alignment with modeling standards and performance requirements.
- Working knowledge of modern data platforms and storage patterns, including Delta Lake, Parquet, medallion architectures, and distributed systems.
- Proficiency with data modeling tools such as ER/Studio, ERWin, Sparx EA, dbt metrics layer, or similar.
- Knowledge of metadata management, lineage, and governance frameworks, ensuring that modeled entities align with enterprise standards and regulatory controls.
- Experience defining naming standards, modeling conventions, and reusable data artefacts to ensure consistency across data domains.
- Ability to assess data quality issues and identify model level improvements to enhance trust and usability of curated datasets.
- Strong communication skills, capable of translating technical modeling decisions into clear guidance for engineers, analysts, and business partners.
- Familiarity with semantic modeling layers (e.g., dbt Semantic Layer, Power BI, LookML) and how data structures support BI and AI use cases.
- Experience working within federated or domain driven data environments, including Data Mesh or similar patterns.
Qualifications
- Expertise in data modeling methodologies, including conceptual, logical, physical, and dimensional modeling (Kimball/Inmon).
- Proven experience designing enterprise semantic layers, particularly for lakehouse architectures.
- Strong understanding of data warehousing principles, star/snowflake schemas, fact/slowly changing dimensions, and canonical data models.
- Ability to translate complex business requirements into scalable, well-structured data models that support analytics, BI, ML, and operational use cases.
- Experience collaborating with data engineers to guide physical implementation, ensuring alignment with modeling standards and performance requirements.
- Working knowledge of modern data platforms and storage patterns, including Delta Lake, Parquet, medallion architectures, and distributed systems.
- Proficiency with data modeling tools such as ER/Studio, ERWin, Sparx EA, dbt metrics layer, or similar.
- Strong SQL skills for validating data structures, profiling data, and ensuring model accuracy.
- Knowledge of metadata management, lineage, and governance frameworks, ensuring that modeled entities align with enterprise standards and regulatory controls.
- Experience defining naming standards, modeling conventions, and reusable data artefacts to ensure consistency across data domains.
- Ability to assess data quality issues and identify model level improvements to enhance trust and usability of curated datasets.
- Strong communication skills, capable of translating technical modeling decisions into clear guidance for engineers, analysts, and business partners.
- Familiarity with semantic modeling layers (e.g., dbt Semantic Layer, Power BI, LookML) and how data structures support BI and AI use cases.
- Experience working within federated or domain driven data environments, including Data Mesh or similar patterns.
Data Modeler (IT) / Contractor in Westminster employer: Free-Work UK
Contact Detail:
Free-Work UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler (IT) / Contractor in Westminster
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data modelling game. You never know who might have a lead on your next big opportunity!
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with data modelling methodologies and how you've tackled complex business requirements. Let them see your passion and expertise shine through!
✨Tailor Your Approach
Every job is different, so make sure you tailor your conversations to highlight the skills that matter most for the role. If they’re looking for experience with lakehouse architectures, bring that up and share relevant examples from your past work.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings! Applying through us not only gives you access to exclusive roles but also puts you in touch with a community that can support you throughout your job search journey.
We think you need these skills to ace Data Modeler (IT) / Contractor in Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in data modeling methodologies and tools. We want to see how your experience aligns with our needs, so don’t hold back on showcasing your best work!
Tailor Your Application: Take a moment to customise your application for the Data Modeler role. Use keywords from the job description to demonstrate that you understand what we’re looking for and how you fit into the picture.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and skills.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Free-Work UK
✨Know Your Data Modelling Methodologies
Make sure you brush up on your knowledge of data modelling methodologies like Kimball and Inmon. Be ready to discuss how you've applied these in past projects, especially in designing enterprise semantic layers and lakehouse architectures.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency with data modelling tools such as ER/Studio or dbt metrics layer. You might be asked to solve a problem on the spot, so practice using these tools beforehand to ensure you're comfortable.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms, as you'll need to translate technical decisions for engineers and business partners alike. Think of examples where you've done this successfully.
✨Understand Modern Data Platforms
Familiarise yourself with modern data platforms and storage patterns like Delta Lake and medallion architectures. Be prepared to discuss how these technologies can enhance data quality and usability, as well as your experience working within federated data environments.
