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- Tasks: Manage data requests and automate solutions using Microsoft Fabric and Azure.
- Company: Global logistics leader with a focus on innovation and collaboration.
- Benefits: Flexible working, health cover, and global cash bonus participation.
- Why this job: Join a dynamic team and make an impact in data automation.
- Qualifications: Degree in a related field, five years of experience, and strong SQL skills.
- Other info: Hybrid work environment with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A global logistics company seeks a Data & Automation Engineer to manage data-related requests in EMEA and Americas. The role involves defining data needs, managing data pipelines, and collaborating with stakeholders to deliver automated solutions using Microsoft Fabric and Azure.
Candidates should have a related degree, at least five years of relevant experience, and strong SQL skills.
The company offers flexible working, health cover, and participation in a global cash bonus plan.
Data & Automation Engineer — Hybrid Work + Health Benefits employer: APL Logistics
Contact Detail:
APL Logistics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Automation Engineer — Hybrid Work + Health Benefits
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Showcase your skills in action! If you’ve worked on relevant projects, consider creating a portfolio or a GitHub repository. This way, we can demonstrate our SQL prowess and automation solutions directly to potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to data pipelines and Microsoft Fabric. We should also be ready to discuss how we’ve collaborated with stakeholders in the past to deliver successful projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our experience aligns perfectly with the role.
We think you need these skills to ace Data & Automation Engineer — Hybrid Work + Health Benefits
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data management and automation. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL expertise and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and automation. We love seeing candidates who can articulate their interest in the role and how they can contribute to our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled data-related challenges in the past. We’re looking for someone who can think critically and come up with innovative solutions, so share those success stories!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at APL Logistics
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and be ready to discuss your experience with data pipelines. Prepare examples of how you've defined data needs and delivered automated solutions in previous roles.
✨Familiarise Yourself with Microsoft Fabric and Azure
Since the role involves using Microsoft Fabric and Azure, it’s crucial to understand these tools. We recommend going through their documentation or even taking a quick online course to get comfortable with their functionalities.
✨Showcase Your Collaboration Skills
This position requires working closely with stakeholders, so be prepared to share examples of how you've successfully collaborated in the past. Think about specific projects where teamwork made a difference in delivering results.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data management and automation. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.