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- Tasks: Design and automate data pipelines in Kubernetes environments using cutting-edge tools.
- Company: Global technology transformation partner with a focus on innovation.
- Benefits: Flexible hybrid work, career development opportunities, and a positive work-life balance.
- Why this job: Join a dynamic team and contribute to innovative data solutions in the cloud.
- Qualifications: Proficiency in Airflow, Docker, and CI/CD principles; experience with data orchestration.
- Other info: Exciting opportunities for growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A global technology transformation partner is seeking a Data Ops Engineer to design and automate data pipelines within Kubernetes environments. The role requires proficiency in tools such as Airflow, Docker, and CI/CD principles. Ideal candidates will have experience with data orchestration and cloud technologies, contributing to innovative data solutions. This hybrid role fosters a positive work-life balance and offers numerous career development opportunities.
Hybrid DataOps Engineer – Cloud Data Pipelines & DevOps in London employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid DataOps Engineer – Cloud Data Pipelines & DevOps in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at 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 data pipelines and projects using tools like Airflow and Docker. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on CI/CD principles and cloud technologies. Practice explaining your past experiences with data orchestration clearly and confidently.
✨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, so keep an eye out and get your application in!
We think you need these skills to ace Hybrid DataOps Engineer – Cloud Data Pipelines & DevOps in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data orchestration and cloud technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in tools like Airflow and Docker!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about DataOps and how you can contribute to our innovative data solutions. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any cool projects involving Kubernetes or CI/CD principles, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work.
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. Plus, it’s super easy!
How to prepare for a job interview at Capgemini
✨Know Your Tools Inside Out
Make sure you’re well-versed in Airflow, Docker, and CI/CD principles. Brush up on how these tools work together to automate data pipelines, as you might be asked to explain your experience with them during the interview.
✨Showcase Your Cloud Knowledge
Since this role involves cloud technologies, be prepared to discuss your experience with different cloud platforms. Highlight any projects where you’ve designed or implemented data solutions in a cloud environment, as this will demonstrate your hands-on expertise.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems related to data orchestration. Practice articulating your thought process and decision-making when faced with challenges, as this will show your analytical skills and ability to think on your feet.
✨Emphasise Work-Life Balance and Team Collaboration
This hybrid role values a positive work-life balance, so be ready to discuss how you manage your time effectively. Also, share examples of how you’ve collaborated with teams in the past, as teamwork is crucial in a DataOps environment.
