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- Tasks: Lead data analytics strategy and manage a data engineer apprentice.
- Company: A top food service company with a focus on innovation.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge tech.
- Why this job: Drive impactful projects in cloud-based data infrastructure and enhance customer satisfaction.
- Qualifications: Experience in data engineering and leadership skills.
- Other info: Join a dynamic team and shape the future of data analytics.
The predicted salary is between 48000 - 72000 £ per year.
A leading food service company is looking for a strategic leader for their data analytics team in Trowbridge, UK. The role involves managing a data engineer apprentice and driving the data analytics strategy across multiple markets including the UK and North America. You will lead the project for migrating to a cloud-based data infrastructure in Azure, ensuring resilience and scalability. The position is ideal for individuals eager to work with cutting-edge technologies and tools to enhance customer satisfaction and business growth.
Senior Data Engineer – Azure Migration & Analytics Leader in Trowbridge employer: apetito
Contact Detail:
apetito Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer – Azure Migration & Analytics Leader in Trowbridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure and analytics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering and cloud migration. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer – Azure Migration & Analytics Leader in Trowbridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and data analytics. We want to see how you've led projects or teams, so don’t hold back on those achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you can drive our analytics strategy. Let us know why you're the perfect fit for this role.
Showcase Your Leadership Skills: Since you'll be managing an apprentice, it’s important to demonstrate your leadership experience. Share examples of how you've mentored others or led successful projects in the past.
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 this exciting opportunity!
How to prepare for a job interview at apetito
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Understand the key features and benefits of Azure for data migration and analytics. Be ready to discuss how you've used Azure in past projects, especially in terms of scalability and resilience.
✨Showcase Your Leadership Skills
Since this role involves managing a data engineer apprentice, be prepared to talk about your leadership style. Share examples of how you've successfully led teams or projects in the past, particularly in data analytics. Highlight your ability to mentor and develop talent.
✨Understand the Business Impact
This position is all about enhancing customer satisfaction and driving business growth. Research the company’s market presence and think about how data analytics can influence their strategy. Be ready to share your insights on how data-driven decisions can lead to better outcomes.
✨Prepare for Technical Questions
Expect some technical questions related to data engineering and analytics. Brush up on your knowledge of data pipelines, ETL processes, and cloud infrastructure. Practise explaining complex concepts in simple terms, as you may need to communicate these ideas to non-technical stakeholders.
