At a Glance
- Tasks: Join a team to develop and deploy a cutting-edge data analytics platform.
- Company: Dynamic tech company focused on innovative data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Other info: Exciting career growth in a fast-paced, collaborative environment.
- Why this job: Make an impact in the world of data analytics and trading insights.
- Qualifications: Experience with Azure, Kubernetes, and data analytics tools required.
The predicted salary is between 55000 - 70000 £ per year.
DevOps Engineer required to join a team working on the development and deployment of a data analytics platform handling daily data points to find and communicate trading insight.
Requirements:
- Azure cloud experience with Kubernetes, in particular AKS.
- Helm and Argo CD knowledge.
- Prometheus and Grafana skills.
- Kafka Data Analytics, AWS cloud, C#, DevOps principles.
Data Analytics Platform DevOps Engineer - Azure, AKS employer: Expert Employment
Join a forward-thinking team in the heart of London, where innovation meets collaboration. As a Data Analytics Platform DevOps Engineer, you'll benefit from a dynamic work culture that prioritises employee growth and development, offering opportunities to enhance your skills in cutting-edge technologies like Azure and Kubernetes. With a focus on meaningful projects and a supportive environment, this role promises not just a job, but a rewarding career path in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Platform DevOps Engineer - Azure, AKS
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Azure, AKS, and data analytics. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with Helm, Argo CD, Prometheus, and Grafana. We want to see how you can contribute to our team!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Analytics Platform DevOps Engineer - Azure, AKS
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Azure and Kubernetes experience, especially with AKS. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about data analytics and DevOps. Share specific examples of how you've used Helm, Argo CD, or Prometheus in your previous roles.
Showcase Your Technical Skills:We love seeing technical skills in action! If you’ve worked with Kafka, Grafana, or any other tools mentioned in the job description, make sure to include those experiences. It helps us understand your hands-on capabilities.
Apply Through Our Website:Don’t forget to apply 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 to do!
How to prepare for a job interview at Expert Employment
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, AKS, and the tools mentioned in the job description like Helm, Argo CD, Prometheus, and Grafana. Brush up on your knowledge of Kafka and AWS as well, as these could come up during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you tackled them. Use examples that highlight your DevOps principles and how they contributed to successful deployments or data analytics solutions.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team’s current projects or the company’s approach to data analytics. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
✨Practice Your Communication
Since this role involves communicating trading insights, practice explaining complex technical concepts in simple terms. This will help demonstrate your ability to convey information effectively to both technical and non-technical stakeholders.
