At a Glance
- Tasks: Design and develop scalable data models for analytics and AI initiatives.
- Company: Join a trusted UK brand at the forefront of technology.
- Benefits: Remote work with occasional travel, competitive daily rate, and a dynamic team.
- Other info: Opportunity to work with cutting-edge AWS technologies and grow your career.
- Why this job: Make an impact by optimising data solutions in a thriving data function.
- Qualifications: Experience in Amazon Redshift and strong SQL skills required.
Location: Remote (occasional travel to York, 1–2 times per month)
Contract Length: 6 months initially
Start Date: Immediate
Daily rate: WRK digital is proud to partner with a highly recognisable and trusted UK brand to recruit an experienced Data Modeller for an exciting new contract opportunity. This is a fantastic chance to join a thriving Data function at the forefront of modern technology and innovation.
We are seeking a skilled and detail-oriented Data Modeller with strong Amazon Redshift experience to design, develop, and maintain scalable enterprise data models that support analytics, reporting, Machine Learning, AI, and operational business intelligence initiatives. This role is pivotal in ensuring data is structured, governed, and optimised for performance across cloud-based data platforms.
The successful candidate will work closely with data engineers, architects, analysts, and business stakeholders to translate complex business requirements into logical and physical data models that enable trusted, high-quality, and accessible data solutions. The successful candidate will play a key role in developing dimensional models, improving data consistency, supporting data integration initiatives, and optimising Redshift data warehouse performance across the organisation.
- Strong experience in enterprise data modelling, including conceptual, logical, and physical data models.
- Proven experience designing and optimising data models within Amazon Redshift environments.
- Experience working with AWS technologies including Redshift, Glue, and S3.
- Strong SQL skills and experience working with large-scale analytical datasets.
- Experience supporting ETL/ELT data integration processes and cloud-based data platforms.
- Knowledge of data governance, metadata management, and data quality standards.
- Ability to translate business requirements into scalable and maintainable data structures.
- Understanding of data security, privacy, and regulatory compliance requirements including GDPR.
D&i Data Modeller in York employer: WRK digital
At WRK digital, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Data Modeller, you will have the opportunity to work remotely while occasionally collaborating with a talented team in York, ensuring a perfect blend of flexibility and teamwork. We offer competitive rates, a commitment to professional development, and the chance to be at the forefront of innovative data solutions within a highly respected UK brand.
StudySmarter Expert Advice🤫
We think this is how you could land D&i Data Modeller in York
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, especially those who work with Amazon Redshift or similar technologies. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨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 enterprise data modelling and SQL, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data modelling scenarios and AWS technologies. Practise explaining how you've tackled complex business requirements in the past, as this will show you're ready to hit the ground running.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can give you a better chance of landing that dream role. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace D&i Data Modeller in York
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Modeller role. Highlight your experience with Amazon Redshift and any relevant AWS technologies. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data modelling and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Projects:If you've worked on any projects that involved data modelling, make sure to mention them! We love seeing real-world examples of your work, especially if they relate to analytics, reporting, or machine learning.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at WRK digital
✨Know Your Data Modelling Inside Out
Make sure you brush up on your data modelling skills, especially in Amazon Redshift. Be ready to discuss your experience with conceptual, logical, and physical data models, and how you've optimised them in past roles. This will show that you’re not just familiar with the tools, but that you can truly leverage them.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL prowess during the interview. You might be asked to solve a problem or explain how you would handle large-scale analytical datasets. Practising common SQL queries and understanding how they apply to data modelling will give you an edge.
✨Understand the Business Side
Since this role involves translating business requirements into data structures, it’s crucial to understand the business context. Research the company’s industry and think about how data modelling can drive their analytics and reporting initiatives. This will help you connect your technical skills to their business needs.
✨Be Ready for Scenario Questions
Expect scenario-based questions where you’ll need to explain how you would approach specific data modelling challenges. Think about past experiences where you improved data consistency or supported ETL processes, and be prepared to share those stories. This will highlight your problem-solving abilities and practical experience.
