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- Tasks: Design and maintain Azure infrastructure while optimising CI/CD pipelines with Databricks.
- Company: Leading UK telecommunications company focused on innovation and teamwork.
- Benefits: Flexible hybrid working, generous holidays, private healthcare, and competitive pension scheme.
- Other info: Emphasises teamwork and innovation within a supportive environment.
- Why this job: Join a dynamic team and make an impact in data engineering with cutting-edge technologies.
- Qualifications: Expertise in Azure, Databricks, Terraform, and strong collaboration skills.
The predicted salary is between 60000 - 80000 £ per year.
A UK telecommunications company is seeking a Platform Engineer to design and maintain Azure infrastructure, optimizing CI/CD pipelines and working with Databricks for data processing.
This role offers flexible hybrid working, generous holiday benefits, private healthcare, and a competitive pension scheme.
The ideal candidate will have expertise in Azure, Databricks, and Terraform, alongside strong collaboration skills. This role also emphasizes teamwork and innovation within the Data Engineering team.
Azure Platform Engineer - Databricks & Terraform Expert employer: TalkTalk
Contact Detail:
TalkTalk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Platform Engineer - Databricks & Terraform Expert
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with Azure and Databricks. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your work with Terraform and CI/CD pipelines. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on collaboration scenarios. Since teamwork is key in this role, think of examples where you've successfully worked with others to solve problems or innovate solutions.
✨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 are proactive about their job search!
We think you need these skills to ace Azure Platform Engineer - Databricks & Terraform Expert
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Databricks, and Terraform. 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 passionate about this role and how you can contribute to our Data Engineering team. Let us know what excites you about working with us!
Showcase Your Collaboration Skills: Since teamwork is key in this role, share examples of how you've successfully collaborated with others in past projects. We love to see candidates who can work well with different teams and bring innovative ideas to the table.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at TalkTalk
✨Know Your Tech Inside Out
Make sure you brush up on your Azure, Databricks, and Terraform knowledge. 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 Collaboration Skills
Since teamwork is key in this role, prepare examples of how you've successfully collaborated with others in past projects. Highlight your communication style and how you contribute to a positive team dynamic.
✨Demonstrate Problem-Solving Abilities
Be prepared to tackle hypothetical scenarios or technical problems during the interview. Think through your approach to optimising CI/CD pipelines or resolving data processing issues with Databricks, and explain your thought process clearly.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team's current projects, the tools they use, or how they foster innovation within the Data Engineering team.