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- Tasks: Provide 1st line support for Fabric issues and manage data capacity.
- Company: Join LV=, a company committed to an inclusive culture.
- Benefits: Enjoy a competitive pension scheme, holiday options, and a bonus scheme.
- Other info: Monthly office presence needed; great opportunity for career growth.
- Why this job: Be part of a dynamic team and enhance your skills in Azure and data management.
- Qualifications: Experience in Azure data platforms, Python, SQL, and data management required.
The predicted salary is between 40000 - 50000 £ per year.
LV= is seeking a proactive Fabric Support Platform Engineer to join our Data team in Bournemouth. This role involves providing 1st line support for Fabric issues, managing capacity, and ensuring effective stakeholder collaboration.
Candidates should have strong experience in Azure data platforms, Python, SQL, and data management. The position requires monthly office presence and includes benefits like a competitive pension scheme, holiday options, and a bonus scheme.
Join us in our commitment to an inclusive culture!
Fabric Platform Engineer — Data Support & Optimization (UK) employer: LV=
Contact Detail:
LV= Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fabric Platform Engineer — Data Support & Optimization (UK)
✨Tip Number 1
Network like a pro! Reach out to current employees at LV= on LinkedIn or other platforms. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Azure data platforms, Python, and SQL skills. We want to show them that we’re not just familiar with the tech but can also solve real-world problems.
✨Tip Number 3
Showcase our collaborative spirit! During interviews, share examples of how we’ve worked with stakeholders in the past. It’s all about demonstrating that we can be a team player in their inclusive culture.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re genuinely interested in being part of the LV= family.
We think you need these skills to ace Fabric Platform Engineer — Data Support & Optimization (UK)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure data platforms, Python, 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 Fabric Support Platform Engineer role and how you can contribute to our Data team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: Since this role involves providing 1st line support, it’s important to demonstrate your problem-solving abilities. Include examples in your application that show how you've tackled challenges in the past, especially in data management.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at LV=
✨Know Your Tech Inside Out
Make sure you brush up on your Azure data platforms, Python, and SQL skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
As a Fabric Support Platform Engineer, you'll be tackling issues head-on. Prepare examples of how you've provided 1st line support in the past, focusing on your approach to troubleshooting and resolving problems efficiently.
✨Emphasise Collaboration
This role requires effective stakeholder collaboration, so think of instances where you've worked with different teams. Highlight your communication skills and how you ensure everyone is on the same page during projects.
✨Be Ready for Scenario Questions
Expect questions that put you in hypothetical situations related to capacity management or data optimisation. Practice articulating your thought process and decision-making strategies clearly, as this will demonstrate your proactive mindset.