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- Tasks: Develop software for advanced driver assistance systems and provide reliable data analysis.
- Company: Leading software services company in the UK with a focus on automotive technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join an enthusiastic team and shape the future of automotive technology.
- Qualifications: Experience in statistical analysis, data engineering, and proficiency in Python and AWS.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
The predicted salary is between 30000 - 42000 £ per year.
A major software services company in the United Kingdom is seeking a talented Data Engineer to develop software for advanced driver assistance systems (ADAS). The ideal candidate should have experience in statistical analysis, data engineering, and proficiency in Python and AWS services.
Responsibilities include:
- Enabling ADAS functions development
- Participating in scrum events
- Providing trustworthy data analysis
Join an enthusiastic team and contribute to the future of automotive technology with virtual testing and data-based solutions.
Junior Data Engineer: Python + AWS for Auto Tech Data employer: Luxoft
Contact Detail:
Luxoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer: Python + AWS for Auto Tech Data
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with ADAS or data engineering. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any AWS work you've done. This is your chance to demonstrate your expertise and passion for data engineering.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this will show your analytical skills and teamwork spirit.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and enthusiasm, which we value highly.
We think you need these skills to ace Junior Data Engineer: Python + AWS for Auto Tech Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AWS, as these are key for the Junior Data Engineer role. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or experiences!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working in automotive technology and how your background in statistical analysis can contribute to our ADAS projects. Let us know what makes you tick!
Showcase Your Team Spirit: Since we value collaboration, mention any experience you have working in teams or participating in scrum events. We love candidates who can work well with others and contribute to a positive team environment!
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 follow the prompts and let us see what you’ve got!
How to prepare for a job interview at Luxoft
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in relation to data engineering and statistical analysis. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Understand ADAS and Its Impact
Familiarise yourself with advanced driver assistance systems (ADAS) and their significance in automotive technology. Being able to discuss how data engineering contributes to ADAS functions will demonstrate your genuine interest in the role and the industry.
✨Prepare for Scrum Discussions
Since the role involves participating in scrum events, be prepared to talk about your experience with agile methodologies. Think of examples where you’ve worked in a team setting, how you’ve contributed to sprints, and how you handle feedback during these processes.
✨Showcase Your Analytical Skills
Be ready to provide examples of how you've conducted data analysis in previous roles. Discuss the methods you used, the challenges you faced, and how your analysis led to actionable insights. This will highlight your ability to provide trustworthy data analysis, which is crucial for the position.