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- Tasks: Engineer cutting-edge data systems for self-driving technology and mentor your teammates.
- Company: Leading automotive tech company in Greater London with a diverse culture.
- Benefits: Competitive health coverage, flexible vacation policy, and a supportive work environment.
- Why this job: Join the forefront of automotive innovation and make a real impact on self-driving tech.
- Qualifications: Strong Python skills, cloud application design experience, and leadership abilities.
The predicted salary is between 36000 - 60000 £ per year.
A leading automotive technology company in Greater London seeks engineers for its Data Search team. This role emphasizes working on self-driving technology and data systems, requiring excellent skills in Python and cloud application design. Candidates should also have a solid understanding of data processing and experience leading or mentoring teammates. The company fosters a diverse working environment and offers competitive benefits including health coverage and a flexible vacation policy.
Staff Data Platform Engineer for ADAS ML Pipelines in London employer: Woven by Toyota
Contact Detail:
Woven by Toyota Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Platform Engineer for ADAS ML Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the automotive tech space, especially those working on self-driving tech. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've got a GitHub or portfolio showcasing your Python projects or cloud applications, make sure to share it. It’s a great way to demonstrate your expertise in data processing and application design.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of ML pipelines and be ready to discuss how you’ve led or mentored teammates in the past. We want to see how you can contribute to our diverse team!
✨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 are proactive about joining our team.
We think you need these skills to ace Staff Data Platform Engineer for ADAS ML Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and cloud application design. 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 self-driving technology and how your background in data processing makes you a great fit for our team. Let us know what excites you about this opportunity!
Showcase Leadership Skills: Since we value mentorship, include examples of how you've led or supported teammates in previous roles. Whether it's through formal leadership or simply helping others grow, we want to see your collaborative spirit!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Woven by Toyota
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially in relation to data processing and cloud application design. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Showcase Your Leadership Skills
Since the role involves mentoring teammates, be prepared to share examples of how you've led projects or supported your colleagues in the past. Think about specific situations where you helped others grow or improved team dynamics, as this will highlight your leadership qualities.
✨Understand Self-Driving Technology
Familiarise yourself with the latest trends and technologies in self-driving systems. Being able to discuss current advancements and how they relate to data pipelines will show your genuine interest in the field and your readiness to contribute to the company's goals.
✨Embrace Diversity and Flexibility
The company values a diverse working environment, so be open about your experiences working in diverse teams. Also, think about how you can adapt to flexible work policies. Sharing your thoughts on work-life balance and collaboration can resonate well with the interviewers.
