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- Tasks: Lead the design and development of innovative data models for AI applications.
- Company: Gigged.AI, a dynamic talent marketplace in the tech sector.
- Benefits: Hybrid work model, competitive contract rates, and potential for extension.
- Other info: Collaborate with diverse teams in an Agile environment.
- Why this job: Join a high-impact programme modernising enterprise data capabilities.
- Qualifications: Strong experience in data modelling, SQL, and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
Gigged.AI is an On‑demand talent marketplace specialising in the IT and technology sector. We have an opportunity live at the moment looking for a Lead Data Modeller.
Location: Glasgow City Centre (Hybrid – 2 days onsite per week)
Contract: Initial 3 months with strong scope for extension
IR35 Status: Inside IR35
Start Date: ASAP
We are seeking a highly skilled and experienced Lead Data Modeler to spearhead the design, development, and enhancement of our core data models. This pivotal role will focus on optimising data structures for seamless consumption by both business end‑users and advanced Artificial Intelligence applications, ensuring our data assets are intuitive, performant, and AI‑ready.
The ideal candidate will drive standardisation, implement best practices in data architecture, and possess deep expertise in crafting scalable and adaptable data solutions that empower informed decision‑making and fuel intelligent systems.
Key Skills & Experience Required:
- Strong experience with Dimensional Modelling, including Star and Snowflake schema design
- Experience working within modern Data Lakehouse architectures
- Advanced SQL and SparkSQL skills, including complex querying, DDL, and DML
- Strong understanding of DAX and analytical data modelling principles
- Experience designing scalable data models for analytics, BI, and AI/ML use cases
- Ability to optimise and enhance existing enterprise data structures
- Strong understanding of data architecture best practices and performance optimisation
- Experience engaging with both technical and non‑technical stakeholders
- Experience working within Agile delivery environments
- Exposure to metadata management strategies, data lineage, and governance frameworks
- Experience with modern cloud data platforms such as Azure, Databricks, or Microsoft Fabric
- Understanding of data quality management and standardisation approaches
- Previous experience leading or influencing enterprise‑wide data modelling standards
This is an excellent opportunity to join a high‑impact programme focused on modernising enterprise data capabilities and enabling future AI‑driven initiatives.
Lead Data Modeller - Inside IR35 - Hybrid (Glasgow) employer: Gigged.AI
Contact Detail:
Gigged.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Modeller - Inside IR35 - Hybrid (Glasgow)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data modelling and tech space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on opportunities!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models and projects. This is your chance to demonstrate your expertise in dimensional modelling and cloud platforms. Make it easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with SQL, SparkSQL, and data architecture best practices. Practice explaining complex concepts in simple terms for non-technical stakeholders.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting roles like the Lead Data Modeller position. It’s a great way to get noticed and show us you’re serious about joining our team. Don’t miss out on the chance to be part of something big!
We think you need these skills to ace Lead Data Modeller - Inside IR35 - Hybrid (Glasgow)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Modeller role. Highlight your experience with Dimensional Modelling and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've used SQL, SparkSQL, or designed scalable data models in past roles. This helps us understand your hands-on experience and problem-solving abilities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data modelling and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Gigged.AI
✨Know Your Data Models
Make sure you brush up on your knowledge of Dimensional Modelling, especially Star and Snowflake schemas. Be ready to discuss how you've designed scalable data models in the past and how they can be applied to the role at Gigged.AI.
✨Showcase Your Technical Skills
Prepare to demonstrate your advanced SQL and SparkSQL skills. You might be asked to solve a complex querying problem on the spot, so practice some tricky queries beforehand to show off your expertise.
✨Engage with Stakeholders
Since this role involves working with both technical and non-technical stakeholders, think of examples where you've successfully communicated complex data concepts to non-technical audiences. This will highlight your ability to bridge the gap between tech and business.
✨Familiarise Yourself with Agile Practices
As the role is set within an Agile delivery environment, be prepared to discuss your experience with Agile methodologies. Share specific instances where you've contributed to Agile projects, focusing on how you adapted to changes and collaborated with your team.