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- Tasks: Build and manage cloud infrastructure on AWS and Azure while automating workflows.
- Company: Dynamic financial services firm in Greater London with a collaborative team.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team delivering high-quality data solutions that drive impactful decisions.
- Qualifications: Experience with cloud technologies, CI/CD tools, and scripting is essential.
- Other info: Exciting role with a focus on innovation and compliance in data governance.
The predicted salary is between 42000 - 60000 £ per year.
A financial services firm in Greater London is looking for a versatile DevOps Engineer to develop and maintain data solutions. The role involves building and managing infrastructure on AWS and Azure, automating workflows, and ensuring compliance with data governance.
The ideal candidate has strong experience with cloud technologies, CI/CD tools, and scripting. Join a collaborative team focused on delivering high-quality data for reporting and analysis.
Cloud Data Engineer & DevOps — AWS & Azure employer: Michael Bailey Associates
Contact Detail:
Michael Bailey Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Engineer & DevOps — AWS & Azure
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud projects, automation scripts, and any CI/CD pipelines you've built. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge around AWS and Azure, and be ready to discuss how you've tackled challenges in previous roles. Practice makes perfect!
✨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, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Cloud Data Engineer & DevOps — AWS & Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS and Azure, as well as any CI/CD tools you've used. We want to see how your skills align with the role, so don’t be shy about showcasing your cloud tech expertise!
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 how you can contribute to our collaborative team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We’re keen to see examples of your work with automation and data governance, so include links or descriptions where possible.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Michael Bailey Associates
✨Know Your Cloud Tech
Make sure you brush up on your AWS and Azure knowledge. Be ready to discuss specific projects where you've implemented cloud solutions, as well as any challenges you faced and how you overcame them.
✨Show Off Your Automation Skills
Prepare examples of how you've automated workflows in previous roles. Whether it's through CI/CD tools or scripting, be ready to explain the impact of your automation on efficiency and compliance.
✨Understand Data Governance
Familiarise yourself with data governance principles relevant to financial services. Be prepared to discuss how you've ensured compliance in past projects and how you would approach it in this role.
✨Collaborate and Communicate
Since this role is part of a collaborative team, think about how you can demonstrate your teamwork skills. Share experiences where you worked closely with others to deliver high-quality data solutions, highlighting your communication style.
