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For Companies At a Glance
- Tasks: Design and develop data models that drive analytics and business intelligence.
- Company: Dynamic tech company in London with a focus on innovation.
- Benefits: Competitive rate, flexible work setup, and opportunities for professional growth.
- Why this job: Join a cutting-edge 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 modern data platforms.
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 City of 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 City of 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 gig!
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share specific examples of your past projects and how you’ve tackled complex data challenges. This is your time to shine and show them what you can bring to the table.
✨Tailor Your Approach
Every company is different, so make sure you tailor your pitch to fit their needs. Research their data architecture and mention how your experience with lakehouse architectures or semantic layers can help them achieve their goals. It shows you’re genuinely interested!
✨Apply Through Our Website
Don’t forget to check out our website for job openings! Applying directly through us not only makes it easier for you but also helps us keep track of your application. Plus, we love seeing familiar faces in our talent pool!
We think you need these skills to ace Data Modeler (IT) / Contractor in City of 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 Collaboration Skills
Since collaboration with data engineers is key, prepare examples of how you've worked together to ensure alignment with modelling standards. Highlight any specific challenges you faced and how you overcame them.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with the data modelling tools mentioned in the job description, such as ER/Studio or dbt metrics layer. Be prepared to discuss your experience with these tools and how they’ve helped you validate data structures and improve model accuracy.
✨Communicate Clearly and Effectively
Strong communication skills are a must for this role. Practice explaining complex technical concepts in simple terms, as you'll need to translate your modelling decisions for engineers, analysts, and business partners during the interview.
