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- Tasks: Lead the design and development of robust data pipelines and platforms.
- Company: Cerebras, a forward-thinking tech company in Bristol.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and shape the future of data solutions.
- Why this job: Make a real impact on data engineering practices in an innovative environment.
- Qualifications: Strong experience in Python, AWS, and knowledge of data security.
The predicted salary is between 60000 - 80000 £ per year.
Cerebras in Bristol is looking for a Lead Data Engineer to lead the development of their data platform. The role involves designing robust data pipelines, ensuring the reliability and scalability of data solutions, and collaborating with technical and business teams.
Candidates should have strong experience in Python and AWS, along with knowledge in data security and quality. This position provides an opportunity to influence data engineering practices within a forward-thinking company.
Lead Data Engineer: Scale Data Platforms & Pipelines in Bristol employer: Cerebras
Contact Detail:
Cerebras Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer: Scale Data Platforms & Pipelines in Bristol
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Cerebras on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and projects you've worked on. This is your chance to demonstrate your expertise in Python and AWS.
✨Tip Number 3
Get ready for the interview! Research common data engineering questions and practice your answers. We want to be confident when discussing data security and quality.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep you updated on your application status directly.
We think you need these skills to ace Lead Data Engineer: Scale Data Platforms & Pipelines in Bristol
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and AWS in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for the Lead Data Engineer role. Mention specific projects or experiences that relate to designing data pipelines and ensuring data quality. This helps us see why you’re a great fit!
Collaborate and Communicate: Since this role involves working with both technical and business teams, it’s important to showcase your collaboration skills. Share examples of how you’ve successfully worked with others to achieve common goals.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Cerebras
✨Know Your Data Pipelines
Make sure you can discuss your experience with designing and implementing data pipelines in detail. Be ready to share specific examples of how you've ensured reliability and scalability in your previous projects.
✨Showcase Your Python Skills
Since strong Python experience is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so brush up on your Python knowledge and be ready to explain your thought process.
✨Familiarise Yourself with AWS
Cerebras is looking for someone with AWS expertise, so make sure you understand the key services relevant to data engineering. Be prepared to discuss how you've used AWS in past roles to build and manage data solutions.
✨Understand Data Security and Quality
Data security and quality are crucial in this role. Be ready to talk about best practices you've implemented in your previous work to ensure data integrity and security, and how you would apply these at Cerebras.