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- Tasks: Design and build scalable data pipelines using Microsoft Azure technologies.
- Company: Tech-focused company in Dundee with a supportive culture.
- Benefits: Competitive salary, growth opportunities, and a dynamic work environment.
- Why this job: Join a team where you can innovate and mentor others in data engineering.
- Qualifications: Experience with Azure data solutions and strong problem-solving skills.
- Other info: Great chance to advance your career in a collaborative setting.
The predicted salary is between 30000 - 50000 £ per year.
A technology-focused company in Dundee is seeking an experienced Azure Data Engineer to join their data platform team. The ideal candidate will design, build, and maintain data pipelines on Microsoft Azure, working with technologies such as PySpark and Azure Data Factory.
The position requires strong problem-solving skills and hands-on experience with Azure data solutions. You will champion DevOps practices and have the opportunity to mentor junior engineers. This role offers a dynamic and supportive environment for growth.
Azure Data Engineer: Build Scalable Data Pipelines in Dundee employer: Synextra
Contact Detail:
Synextra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer: Build Scalable Data Pipelines in Dundee
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your experience with Azure, PySpark, and data pipelines. This hands-on demonstration can really set us apart from other candidates.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your problem-solving skills. Use platforms like LeetCode or HackerRank to tackle relevant coding challenges.
✨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 to connect with us directly.
We think you need these skills to ace Azure Data Engineer: Build Scalable Data Pipelines in Dundee
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and data pipelines. We want to see how you've used technologies like PySpark and Azure Data Factory in your previous roles, so don’t hold back!
Show Off Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data engineering. We love seeing candidates who can think on their feet and come up with innovative solutions.
DevOps is Key: Since we champion DevOps practices, mention any relevant experience you have in this area. Whether it’s automation or continuous integration, let us know how you’ve contributed to a smoother workflow.
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!
How to prepare for a job interview at Synextra
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure Data Factory and PySpark. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've solved in data engineering. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨DevOps is Key
Since this role champions DevOps practices, be prepared to talk about your experience with CI/CD pipelines and automation tools. Discuss how you've integrated DevOps into your workflow to improve efficiency and reliability.
✨Mentorship Matters
As you'll have the chance to mentor junior engineers, think about your approach to teaching and guiding others. Share any experiences you've had in mentoring or leading teams, and how you foster a collaborative environment.