At a Glance
- Tasks: Architect and create data pipelines while delivering innovative analytics solutions.
- Company: Leading technology consulting firm with a focus on innovation.
- Benefits: Dynamic work environment and the chance to enhance your skills.
- Other info: 6-month contract with potential for growth and learning.
- Why this job: Join a team that shapes the future of data solutions in a vibrant city.
- Qualifications: Experience in Python/PySpark, SQL, and Azure cloud capabilities required.
The predicted salary is between 40000 - 50000 £ per year.
A leading technology consulting firm is looking for Data Engineers to join a 6-month contract in Glasgow. The role involves architecting, creating, and operationalising data pipelines, and delivering analytics solutions. Candidates should have extensive experience in Python/PySpark and SQL, along with a strong background in cloud-based Azure capabilities. This is a great opportunity for those looking to work in a dynamic environment and contribute to innovative data solutions.
Azure Data Engineer – 6-Month Contract (Onsite Glasgow) employer: Lorien
Join a leading technology consulting firm in Glasgow, where innovation meets opportunity. Our dynamic work culture fosters collaboration and creativity, providing employees with the chance to grow their skills in cutting-edge data solutions. With a focus on professional development and a supportive environment, we offer a rewarding experience for those passionate about data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer – 6-Month Contract (Onsite Glasgow)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Azure or data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PySpark, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practise explaining your thought process when architecting data pipelines – it’s all about demonstrating your problem-solving skills!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Azure Data Engineer – 6-Month Contract (Onsite Glasgow)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python/PySpark 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 Azure Data Engineer role and how your background makes you a perfect fit. We love seeing genuine enthusiasm!
Showcase Your Cloud Experience:Since this role involves Azure capabilities, be sure to mention any cloud-based projects you've worked on. We’re looking for candidates who can hit the ground running, so highlight 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’re considered for this exciting opportunity in Glasgow!
How to prepare for a job interview at Lorien
✨Know Your Tech Inside Out
Make sure you brush up on your Python, PySpark, 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 Azure Expertise
Since the role focuses on Azure capabilities, be prepared to talk about your experience with Azure services. Highlight any data pipelines you've built or analytics solutions you've delivered using Azure, and be ready to explain your thought process.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems. Think about how you would architect a data pipeline or troubleshoot an issue in a cloud environment. Practising these scenarios can help you articulate your approach clearly.
✨Demonstrate Your Team Spirit
This role is in a dynamic environment, so show that you're a team player. Share examples of how you've collaborated with others in past projects, and express your enthusiasm for contributing to innovative data solutions together.
