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- Tasks: Design and build a new enterprise data warehouse using Microsoft Fabric.
- Company: A growing organisation in data and analytics with a focus on innovation.
- Benefits: Autonomy in your role, strong team support, and opportunities for professional growth.
- Why this job: Shape a new data platform and make a real impact in the data world.
- Qualifications: Proven experience in data architecture and a passion for data engineering.
- Other info: Join a dynamic team in West Yorkshire and drive exciting projects.
The predicted salary is between 43200 - 72000 £ per year.
A growing organization in data and analytics is looking for a Senior Data Engineer in West Yorkshire to design and build a new enterprise data warehouse from scratch using Microsoft Fabric. The role involves full ownership of architecture, pipelines, and data models, with a focus on robust implementation and best practices.
Ideal candidates should have proven experience and a passion for data architecture. This role offers real autonomy in shaping a new data platform and strong team support.
Senior Data Engineer — Greenfield Data Warehouse (Fabric) employer: G.Digital
Contact Detail:
G.Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Greenfield Data Warehouse (Fabric)
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those who work with Microsoft Fabric. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially any data warehouses or pipelines you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and best practices in data architecture. Be ready to discuss how you would approach building a new data warehouse from scratch—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to take ownership of their work. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Data Engineer — Greenfield Data Warehouse (Fabric)
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data architecture shine through. Share specific examples of projects you've worked on that demonstrate your skills and passion for building robust data solutions.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight your experience with Microsoft Fabric and data warehousing. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your achievements stand out and ensure we can quickly grasp your qualifications.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at G.Digital
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data architecture and Microsoft Fabric. Be prepared to discuss your previous experiences in designing data warehouses and how you've implemented best practices. This will show that you're not just familiar with the tools, but that you can also apply them effectively.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies related to data pipelines and architecture. Think about how you would approach building a data warehouse from scratch and be prepared to explain your thought process. This demonstrates your ability to think critically and creatively.
✨Highlight Your Autonomy and Teamwork
Since this role offers real autonomy, share examples of when you've taken ownership of a project. However, also emphasise your ability to collaborate with teams. Discuss how you’ve worked with others to achieve common goals, as this shows you can balance independence with teamwork.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions about the company’s vision for the new data platform. Ask about the challenges they foresee and how they measure success. This not only shows your interest but also helps you gauge if the role aligns with your career aspirations.
