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- Tasks: Design and implement observability stacks for data workloads in a leading tech firm.
- Company: Join a top technology firm in Greater London with a focus on innovation.
- Benefits: Enjoy comprehensive benefits including medical, dental, and generous pension contributions.
- Other info: Be part of a dynamic team with opportunities for professional growth.
- Why this job: Make a significant impact on data observability and enhance operational efficiency.
- Qualifications: 5+ years in DataOps with experience in data pipelines and orchestration tools like Airflow.
The predicted salary is between 60000 - 80000 £ per year.
A leading technology firm in Greater London is seeking a Senior DataOps Engineer II. You will own Monolith’s data observability and operational surface, designing and implementing observability stacks for data workloads.
The ideal candidate has 5+ years in DataOps and extensive experience with data pipelines and orchestration tools like Airflow.
This position offers comprehensive benefits, including medical, dental, and generous pension contributions.
Senior DataOps Engineer - Data Observability & Pipelines employer: CoreWeave
Contact Detail:
CoreWeave Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior DataOps Engineer - Data Observability & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other DataOps enthusiasts. 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 observability projects and any cool pipelines you've built. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of orchestration tools like Airflow and be ready to discuss your experience in detail. We recommend practising common interview questions related to DataOps to boost your confidence.
✨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 Senior DataOps Engineer - Data Observability & Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in DataOps and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise with tools like Airflow!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data observability and how your background makes you the perfect fit for our team at StudySmarter.
Showcase Your Projects: If you've worked on relevant projects, mention them! We love seeing real-world examples of your work, especially those that demonstrate your ability to design and implement observability stacks.
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 with StudySmarter!
How to prepare for a job interview at CoreWeave
✨Know Your DataOps Inside Out
Make sure you brush up on your DataOps knowledge, especially around data observability and pipeline orchestration tools like Airflow. Be ready to discuss your past experiences and how you've tackled challenges in these areas.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and implemented observability stacks for data workloads. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Familiarise Yourself with the Company’s Tech Stack
Research the technology firm and understand their current data infrastructure and tools. This will help you tailor your responses and demonstrate your genuine interest in how you can contribute to their team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows that you're not only interested in the role but also invested in the company's growth and success.