At a Glance
- Tasks: Design and implement robust data systems for autonomous driving using Python and cloud tech.
- Company: Join Woven by Toyota's innovative London Data Infrastructure team.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Mentorship opportunities and a fast-paced, collaborative culture await you.
- Why this job: Shape the future of mobility while collaborating with top engineers in a dynamic environment.
- Qualifications: Experience in data engineering and proficiency in cloud technologies required.
The predicted salary is between 63000 - 77000 £ per year.
Woven by Toyota’s London Data Infrastructure team builds and scales data pipelines for autonomous driving data.
You will design and implement distributed data systems, focusing on reliability and performance, using Python and cloud technologies across AWS/GCP/Azure.
You will collaborate with ML and CV engineers, own critical data workflows, and mentor junior engineers while shaping the roadmap for our data platforms in a fast-paced mobility environment.
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Senior Data Infra Engineer for Autonomous Driving Pipelines in London employer: Woven by Toyota
Woven by Toyota is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from extensive growth opportunities, mentorship programs, and the chance to work on cutting-edge technology in autonomous driving, all while enjoying a supportive environment that values work-life balance and diversity.
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We think this is how you could land Senior Data Infra Engineer for Autonomous Driving Pipelines in London
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We think you need these skills to ace Senior Data Infra Engineer for Autonomous Driving Pipelines in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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