At a Glance
- Tasks: Lead the design and optimisation of data models for AI applications.
- Company: Join Gigged.AI, a forward-thinking company in Glasgow.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a high-impact programme with a focus on best practices.
- Why this job: Make a significant impact on modernising enterprise data capabilities.
- Qualifications: Experience in Dimensional Modelling, SQL, and Data Lakehouse architectures.
The predicted salary is between 60000 - 80000 £ per year.
Gigged.AI is seeking a Lead Data Modeller to lead the development and optimisation of data models in Glasgow. This hybrid role involves designing structures for business end-users and AI applications.
Candidates should have strong experience in Dimensional Modelling, SQL, and modern Data Lakehouse architectures. Join a high-impact programme aimed at modernising enterprise data capabilities. Strong emphasis on standardisation and data architecture best practices is crucial.
Lead Data Modeler - AI-Ready Architect (Hybrid Glasgow) employer: Gigged.AI
Contact Detail:
Gigged.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Modeler - AI-Ready Architect (Hybrid Glasgow)
✨Tip Number 1
Network like a pro! Reach out to folks in the data modelling and AI space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models and projects. This is your chance to shine and demonstrate your expertise in Dimensional Modelling and SQL.
✨Tip Number 3
Prepare for interviews by brushing up on data architecture best practices. Be ready to discuss how you can contribute to modernising enterprise data capabilities at Gigged.AI.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining the team.
We think you need these skills to ace Lead Data Modeler - AI-Ready Architect (Hybrid Glasgow)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Dimensional Modelling and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Lead Data Modeller position and how you can contribute to modernising enterprise data capabilities. Let us know what makes you the perfect fit!
Showcase Your Knowledge of Data Architecture: Since we’re all about standardisation and best practices, make sure to mention any experience you have with modern Data Lakehouse architectures. We love seeing candidates who are up-to-date with industry trends!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Gigged.AI
✨Know Your Data Modelling Basics
Make sure you brush up on your Dimensional Modelling and SQL skills before the interview. Be ready to discuss how you've applied these concepts in past projects, as this will show your practical experience and understanding of data architecture.
✨Familiarise Yourself with Data Lakehouse Architectures
Since this role involves modern Data Lakehouse architectures, do some research on the latest trends and best practices. Being able to talk about how you would implement these structures for business end-users and AI applications will set you apart from other candidates.
✨Emphasise Standardisation and Best Practices
Prepare examples of how you've contributed to standardisation in previous roles. Discussing your approach to data architecture best practices will demonstrate your commitment to quality and efficiency, which is crucial for this position.
✨Show Enthusiasm for the Programme
Gigged.AI is looking for someone who is excited about modernising enterprise data capabilities. Make sure to express your enthusiasm for the high-impact programme and how you see yourself contributing to its success.