At a Glance
- Tasks: Own the data platform and manage robust ETL processes for batch and streaming pipelines.
- Company: CoreWeave, a leader in data engineering with a focus on innovation.
- Benefits: Flexible remote work options, competitive salary, and opportunities for professional growth.
- Other info: Enjoy a hybrid work environment that promotes collaboration and creativity.
- Why this job: Join a dynamic team to enhance data capabilities and champion data quality.
- Qualifications: 8+ years in data engineering with strong SQL, Python, and data architecture skills.
The predicted salary is between 60000 - 80000 £ per year.
CoreWeave is seeking a Staff Data Engineer to own the data platform, ensuring robust ETL processes. Ideal candidates will have 8+ years in data engineering and strong skills in SQL, Python, and data architecture.
Responsibilities include:
- Managing both batch and streaming pipelines
- Championing data quality
- Collaborating across teams to enhance data capabilities
This position supports a hybrid work environment with flexible remote options based on role requirements.
Staff Data Platform Engineer - ETL, Streaming & DataOps in London employer: Dormont Manufacturing Co
CoreWeave is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for experienced data engineers to thrive. With a strong emphasis on employee growth, we offer ample opportunities for professional development and the flexibility of a hybrid work environment, allowing you to balance your personal and professional life effectively. Join us to be part of a forward-thinking team that values your expertise and contributions in shaping our data platform.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Platform Engineer - ETL, Streaming & DataOps in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering space, especially those who work at CoreWeave. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your ETL processes, SQL queries, and Python projects. This is your chance to demonstrate your expertise in data architecture and streaming pipelines.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your SQL and Python skills. Consider mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Staff Data Platform Engineer - ETL, Streaming & DataOps in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data engineering, especially with ETL processes. We want to see your skills in SQL, Python, and data architecture shine through!
Showcase Your Projects:Include specific examples of projects where you've managed batch and streaming pipelines. We love seeing how you've championed data quality and collaborated with teams to enhance data capabilities.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication that gets right to the heart of your experience and skills.
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 this exciting opportunity.
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of ETL processes and data architecture. Brush up on your SQL and Python skills, as you’ll likely be asked to demonstrate your technical knowledge during the interview.
✨Showcase Your Experience with Pipelines
Prepare to discuss your experience managing both batch and streaming pipelines. Have examples ready that highlight your ability to ensure data quality and how you've collaborated with other teams to enhance data capabilities.
✨Understand CoreWeave's Culture
Research CoreWeave’s work environment and values. Since this role supports a hybrid work model, be ready to discuss how you thrive in both remote and in-office settings, showcasing your adaptability.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics and the challenges they face with their data platform. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
