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- Tasks: Design and build a cutting-edge Microsoft Fabric data platform.
- Company: Leading baby and nursery brand based in Huddersfield.
- Benefits: 33 days holiday, employer pension contributions, and hybrid working options.
- Why this job: Join a dynamic team and shape the future of data analytics.
- Qualifications: Strong skills in data architecture, data modelling, and SQL required.
- Other info: Collaborate with external partners and ensure top-notch data governance.
The predicted salary is between 36000 - 60000 £ per year.
A leading baby and nursery brand in Huddersfield is seeking a Data Analytics Engineer to design and build a new Microsoft Fabric data platform. The ideal candidate will have strong skills in data architecture, data modeling, and SQL. This role involves collaborating with external partners and ensuring best practices in data governance and quality.
The opportunity includes hybrid working arrangements and attractive benefits such as 33 days of holiday and employer pension contributions.
Data Analytics Engineer: Build a Modern Fabric Platform in Huddersfield employer: Mamas & Papas Limited
Contact Detail:
Mamas & Papas Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer: Build a Modern Fabric Platform in Huddersfield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with data platforms. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on data governance and quality best practices. Be ready to discuss how you've implemented these in past roles, as it shows you're serious about maintaining high standards.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analytics Engineer: Build a Modern Fabric Platform in Huddersfield
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data architecture, data modelling, and SQL in your application. We want to see how your skills align with what we're looking for!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Data Analytics Engineer role. This shows us you’re genuinely interested in joining our team.
Collaborate and Communicate: Since this role involves working with external partners, mention any relevant collaboration experiences. We love seeing candidates who can communicate effectively and work well with others!
Apply Through Our Website: For the best chance of success, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Mamas & Papas Limited
✨Know Your Data Inside Out
Make sure you brush up on your data architecture and modelling skills. Be prepared to discuss specific projects where you've designed or built data platforms, especially using Microsoft Fabric. This will show that you not only understand the theory but have practical experience too.
✨SQL Skills Are Key
Since SQL is a crucial part of this role, practice common SQL queries and be ready to solve problems on the spot. You might be asked to write queries during the interview, so having a few examples in mind can really help you shine.
✨Collaboration is Crucial
This role involves working with external partners, so be ready to talk about your experience in collaborative projects. Share examples of how you've successfully worked with others to achieve a common goal, particularly in data governance and quality.
✨Embrace the Hybrid Work Culture
With hybrid working arrangements on offer, be prepared to discuss how you manage your time and productivity in a flexible work environment. Highlight any previous experience you have with remote work and how you stay connected with your team.
