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- Tasks: Build and deploy data infrastructure using Azure Databricks and Power BI.
- Company: Global logistics firm based in central London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a growing team and make a real impact on data strategy.
- Qualifications: Strong skills in SQL, Python, and modern data tools like dbt.
- Other info: Exciting opportunity to work in a dynamic environment with career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A global logistics firm based in central London is looking for data professionals to join their new team. You will work on building and deploying data infrastructure and analytics solutions using Azure Databricks, ADF, and Power BI.
Responsibilities include:
- Collaborating on scalable data pipelines
- Maintaining dimensional models
- Implementing data quality checks
A strong background in SQL, Python, and modern data tools like dbt is required. This is a unique chance to contribute to a significant data strategy in a growing business.
Azure Data Engineer – Databricks & Analytics Platform employer: McGregor Boyall
Contact Detail:
McGregor Boyall Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer – Databricks & Analytics Platform
✨Tip Number 1
Network like a pro! Reach out to professionals in the logistics and data engineering space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects using Azure Databricks, ADF, and Power BI. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on SQL and Python. Practice common data engineering problems and be ready to discuss your approach to building scalable data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative!
We think you need these skills to ace Azure Data Engineer – Databricks & Analytics Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks, ADF, and Power BI. We want to see how your skills in SQL and Python fit into the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about this opportunity and how your background aligns with our data strategy. Keep it engaging and personal – we love to see your passion!
Showcase Your Projects: If you've worked on any data infrastructure or analytics solutions, make sure to mention them. We’re keen to see examples of scalable data pipelines or dimensional models you’ve built. It’s all about demonstrating your hands-on experience!
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, it shows you’re serious about joining our team!
How to prepare for a job interview at McGregor Boyall
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Databricks, ADF, and Power BI. Brush up on your SQL and Python skills, as these will likely come up during technical questions. Being able to discuss how you've used these tools in past projects will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in building data pipelines or maintaining dimensional models. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you implemented data quality checks and improved processes.
✨Collaborate and Communicate
Since this role involves collaboration, be ready to talk about your experience working in teams. Share examples of how you’ve effectively communicated with colleagues to deliver scalable solutions. This shows you can fit into their team dynamic.
✨Understand Their Business
Research the logistics firm and understand their data strategy. Knowing how your role as an Azure Data Engineer fits into their overall goals will demonstrate your genuine interest in the position and help you ask insightful questions during the interview.
