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- Tasks: Enhance AI data operations by finding new audio sources and managing cloud infrastructure.
- Company: Leading tech company in the UK focused on innovation.
- Benefits: Competitive salary and the chance to make a meaningful impact.
- Why this job: Join a team that optimises datasets for next-gen models and supports users with learning differences.
- Qualifications: 5+ years experience, proficiency in bash/Python, Docker, and strong communication skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in the UK is seeking a skilled Software Engineer to enhance their AI data operations. This role involves finding new audio data sources, managing cloud infrastructure on GCP, and collaborating with scientists to optimize datasets for next-gen models.
Ideal candidates have:
- 5+ years of experience
- Proficiency in bash/Python
- Experience with Docker
- Strong communication skills
This position offers a competitive salary and the chance to make a meaningful impact on users with learning differences.
Data Ingestion & Platform Engineer in London employer: Clutch Canada
Contact Detail:
Clutch Canada Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Ingestion & Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. 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 projects, especially those involving data ingestion and cloud infrastructure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges in bash and Python, and be ready to discuss your experience with Docker and GCP. Confidence is key!
✨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. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Ingestion & Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with bash, Python, and Docker. 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 data ingestion and how your background makes you a perfect fit for our team. Let us know what excites you about working with AI data operations.
Show Off Your Communication Skills: Since collaboration is key in this role, make sure to highlight your communication skills in your application. We love candidates who can articulate their ideas clearly and work well with others, especially when optimising datasets.
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 our team!
How to prepare for a job interview at Clutch Canada
✨Know Your Tech Stack
Make sure you’re well-versed in bash, Python, and Docker. Brush up on your skills and be ready to discuss how you've used these technologies in past projects. Being able to share specific examples will show your expertise and confidence.
✨Understand the Role's Impact
Familiarise yourself with how data ingestion and cloud infrastructure play a role in enhancing AI operations. Be prepared to discuss how your work can directly impact users with learning differences. This shows that you’re not just technically skilled but also aligned with the company’s mission.
✨Prepare for Collaboration Questions
Since this role involves working closely with scientists, think about your past experiences in collaborative environments. Prepare examples that highlight your communication skills and how you’ve successfully worked in teams to optimise datasets or solve problems.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the current challenges the team faces with data sources or how they measure the success of their models. This demonstrates your genuine interest in the role and the company.
