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- Tasks: Design data solutions and develop cloud applications for autonomous driving advancements.
- Company: Leading mobility innovation company in Greater London with a supportive work culture.
- Benefits: Comprehensive health benefits and a collaborative environment.
- Why this job: Join a team shaping the future of automotive software and make a real impact.
- Qualifications: Proficient in Python with experience in BigQuery and AWS.
- Other info: Exciting opportunities for career growth in a dynamic industry.
The predicted salary is between 42000 - 84000 £ per year.
A leading mobility innovation company in Greater London is seeking an engineering professional to work on the next generation of automotive software developments. The role emphasizes collaboration with cross-functional teams, cloud application development, and designing data solutions that will drive autonomous driving advancements.
Candidates should be proficient in Python and have experience with data infrastructure technologies like BigQuery and AWS.
The company offers comprehensive health benefits and is committed to creating a supportive work environment.
Staff Data Platform Engineer – ML for ADAS in London employer: Woven
Contact Detail:
Woven Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Platform Engineer – ML for ADAS in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in mobility innovation. A friendly chat can open doors and give you insights that might just land you that Staff Data Platform Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your Python projects and data solutions. This is your chance to demonstrate your expertise in cloud application development and data infrastructure technologies like BigQuery and AWS.
✨Tip Number 3
Prepare for interviews by brushing up on collaborative problem-solving. Since the role involves working with cross-functional teams, be ready to discuss how you've successfully collaborated in the past and tackled challenges together.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making the application process smooth and easy. Plus, it shows you’re genuinely interested in joining our supportive work environment.
We think you need these skills to ace Staff Data Platform Engineer – ML for ADAS in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and data infrastructure technologies like BigQuery and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working on automotive software developments and how you can contribute to our mission of advancing autonomous driving.
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, share examples of how you've successfully collaborated in the past. We love seeing teamwork in action, so let us know how you’ve made an impact!
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 Woven
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with data infrastructure technologies like BigQuery and AWS. Be ready to discuss specific projects where you've used these tools, as it shows your hands-on experience and technical prowess.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight any challenges you faced and how you overcame them, as this demonstrates your ability to work well with others.
✨Understand the Company’s Vision
Research the company’s mission and recent innovations in automotive software. Being able to articulate how your skills align with their goals will show that you're genuinely interested in the role and can contribute to their vision for autonomous driving advancements.
✨Prepare Thoughtful Questions
At the end of the interview, have a few insightful questions ready about the team dynamics or upcoming projects. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.
