At a Glance
- Tasks: Manage large datasets and collaborate with machine learning teams in robotics and AI.
- Company: Leading recruitment firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a cutting-edge sector and contribute to advanced technologies in robotics.
- Qualifications: Degree in Data Science or Computer Science with skills in Python and SQL.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
The predicted salary is between 43200 - 72000 Β£ per year.
A leading recruitment firm in the UK is seeking an experienced Data Engineer to join their data engineering team in London. The role involves managing large datasets, ensuring data quality, and collaborating with machine learning teams to support training workflows.
Candidates should have a degree in Data Science or Computer Science and strong technical knowledge in Python, SQL, and data processing.
This is a unique opportunity to work in the cutting-edge sector of robotics and AI, contributing to the development of advanced technologies.
Robotics Data Engineer - Python, SQL, ML & AI employer: Randstad Technologies Recruitment
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Robotics Data Engineer - Python, SQL, ML & AI
β¨Tip Number 1
Network like a pro! Reach out to people in the robotics and AI sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, SQL, and machine learning. This is your chance to demonstrate what you can do beyond just a CV.
β¨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common data engineering problems and be ready to discuss your thought process. We want to see how you tackle challenges!
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Robotics Data Engineer - Python, SQL, ML & AI
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data processing. We want to see how your skills align with the role, so donβt 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 youβre passionate about robotics and AI, and how your background in Data Science or Computer Science makes you a perfect fit for our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data management or collaborated with machine learning teams. We love seeing candidates who can think critically and adapt to new situations!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates during the process!
How to prepare for a job interview at Randstad Technologies Recruitment
β¨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
β¨Showcase Your Data Management Skills
Prepare examples that highlight your experience with managing large datasets. Discuss how you ensure data quality and any tools or methods you use to maintain it. This will show your potential employer that you understand the importance of clean data in machine learning workflows.
β¨Collaborate Like a Pro
Since this role involves working closely with machine learning teams, be prepared to talk about your collaborative experiences. Share instances where youβve worked cross-functionally and how you contributed to the success of a project, especially in the context of robotics and AI.
β¨Stay Curious About Robotics and AI
Demonstrate your passion for the field by discussing recent advancements in robotics and AI. Bring up any relevant articles or projects that excite you, showing that you're not just technically skilled but also genuinely interested in the industry.