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- Tasks: Manage data requests and develop custom solutions using Microsoft Fabric and Azure.
- Company: Dynamic logistics company based in Greater London with a global reach.
- Benefits: Flexible working hours and participation in a global bonus plan.
- Why this job: Join a forward-thinking team and make an impact in data automation.
- Qualifications: Degree in computer science and five years of experience with Microsoft technologies.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A logistics company in Greater London is seeking a Data & Automation Engineer to manage data-related requests for EMEA and Americas regions.
Responsibilities include developing custom data solutions and automation using Microsoft Fabric and Azure.
The ideal candidate has a degree in computer science or a related field and five years of experience with Microsoft technologies, along with expertise in SQL and data integration.
The role offers flexible working times and participation in a global bonus plan.
Regional Data & Automation Engineer — Fabric & Azure employer: APL Logistics
Contact Detail:
APL Logistics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Regional Data & Automation Engineer — Fabric & Azure
✨Tip Number 1
Network like a pro! Reach out to folks in the logistics and data sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your custom data solutions and automation projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on Microsoft Fabric and Azure. We want you to be ready to discuss how you've used these technologies in real-world scenarios.
✨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 take that extra step.
We think you need these skills to ace Regional Data & Automation Engineer — Fabric & Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft technologies, SQL, and data integration. We want to see how your skills align with the role of a Data & Automation Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data solutions and automation. We love seeing candidates who can connect their personal experiences to our mission at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled data-related challenges in the past. We’re looking for someone who can think critically and develop innovative solutions, so let us know how you’ve done this before!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at APL Logistics
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric and Azure. 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 SQL Skills
Prepare to demonstrate your SQL expertise. You might be asked to solve a problem on the spot, so practice writing queries and think about how you can optimise data integration processes.
✨Understand the Company’s Needs
Research the logistics company and understand their operations in the EMEA and Americas regions. Tailor your answers to show how your skills can directly benefit their data-related requests and automation needs.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of examples from your past experience where you developed custom data solutions or automated processes, and be prepared to explain your thought process.