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- Tasks: Design and build a Microsoft Fabric data platform and develop end-to-end data pipelines.
- Company: Leading nursery brand with a focus on innovation and collaboration.
- Benefits: Hybrid working, competitive benefits, holiday schemes, and family-related leave policies.
- Why this job: Join a dynamic team and shape the future of data analytics in a growing industry.
- Qualifications: Solid skills in Microsoft Fabric, SQL, and experience in data modelling.
- Other info: Exciting opportunity for career growth in a supportive environment.
The predicted salary is between 28800 - 48000 £ per year.
A leading nursery brand is seeking a Data Analytics Engineer to design and build a Microsoft Fabric data platform from scratch. The role involves developing end-to-end data pipelines, collaborating with an external partner, and ensuring data governance.
Candidates should have solid skills in Microsoft Fabric and SQL, alongside experience in data modelling.
The position offers a hybrid working arrangement with competitive benefits including holiday schemes and family-related leave policies.
Data Analytics Engineer: Build Microsoft Fabric Platform employer: Mamas & Papas
Contact Detail:
Mamas & Papas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Engineer: Build Microsoft Fabric Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Microsoft Fabric. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any projects you've done with SQL and Microsoft Fabric. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data governance questions. We want you to be ready to discuss how you ensure data quality and compliance in your projects.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to get noticed and ensures your application lands directly in front of the hiring team.
We think you need these skills to ace Data Analytics Engineer: Build Microsoft Fabric Platform
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Microsoft Fabric and SQL in your application. We want to see how you've used these skills in real projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to building data platforms and working with data governance, as it shows us you’re genuinely interested.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and what you can bring to the team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Mamas & Papas
✨Know Your Microsoft Fabric Inside Out
Make sure you brush up on your Microsoft Fabric knowledge. Be ready to discuss how you've used it in past projects, and think of specific examples where you've built data pipelines or managed data governance. This will show that you're not just familiar with the platform, but that you can leverage it effectively.
✨Show Off Your SQL Skills
Since SQL is a key part of the role, prepare to demonstrate your proficiency. You might be asked to solve a problem on the spot, so practice writing queries and optimising them. Bring examples of how you've used SQL in data modelling to make your case even stronger.
✨Collaboration is Key
This role involves working with external partners, so be ready to talk about your teamwork experiences. Share examples of how you've successfully collaborated on projects, especially in data analytics. Highlight your communication skills and how you ensure everyone is on the same page.
✨Understand Data Governance
Data governance is crucial for this position, so make sure you understand its principles. Be prepared to discuss how you've implemented data governance in previous roles, including any challenges you faced and how you overcame them. This will demonstrate your ability to maintain data integrity and compliance.