At a Glance
- Tasks: Build and manage data pipelines for cutting-edge robotics.
- Company: Join a leading tech recruitment firm in the IT & Engineering sectors.
- Benefits: Competitive salary, flexible working options, and career development opportunities.
- Other info: Exciting environment with potential for growth in robotics and machine learning.
- Why this job: Be at the forefront of robotics and make a real difference with data.
- Qualifications: Degree in Computer Science or Data Science; strong Python and SQL skills required.
The predicted salary is between 30000 - 50000 £ per year.
The Mission:
Data infrastructure behind the world's most advanced robots. You will curate and manage the massive datasets that allow our robots to learn, move, and interact with the physical world.
Key Responsibilities:
- Pipeline Design: Build and maintain scalable data pipelines for ML training.
- Data Curation: Preprocess large-scale datasets to ensure consistency and accuracy.
- Quality Control: Develop metrics and reporting systems to monitor data integrity.
- Security: Implement best practices for data versioning, security, and compliance.
Requirements:
- Degree: BSc/MSc in Computer Science, Data Science, or similar.
- Technical Skills: Strong proficiency in Python and SQL.
- Experience: Proven track record in data engineering or data quality management.
- ML Knowledge: Understanding of how data impacts machine learning performance.
Preferred:
- Experience in Robotics or autonomous systems.
- Familiarity with Cloud (AWS/GCP/Azure) storage and processing.
Data Engineer employer: Randstad Technologies
Randstad Technologies is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to continuous learning opportunities while working in a hybrid model that promotes work-life balance. The diverse locations, including Cardiff, provide a vibrant environment where your contributions are valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your experience with Python, SQL, and any relevant ML concepts. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Read the Job Description Carefully:Before you dive into your application, take a moment to really understand what we're looking for. Familiarise yourself with the key responsibilities and requirements so you can tailor your application to show us you're the perfect fit.
Show Off Your Skills:When writing your application, make sure to highlight your technical skills, especially in Python and SQL. We want to see how your experience aligns with our needs, so don’t hold back on showcasing your data engineering prowess!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Randstad Technologies
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data you'll be working with. Understand how to curate and manage datasets effectively, as well as the importance of data integrity. This will show your potential employer that you're not just familiar with data engineering but are passionate about it.
✨Showcase Your Technical Skills
Be ready to discuss your proficiency in Python and SQL. Prepare examples of past projects where you built scalable data pipelines or implemented quality control measures. This practical knowledge will help you stand out as a candidate who can hit the ground running.
✨Brush Up on Machine Learning Basics
Since the role involves data for machine learning, make sure you understand how data impacts ML performance. Be prepared to discuss any relevant experience you have in this area, as it will demonstrate your ability to contribute to the team’s goals.
✨Familiarise Yourself with Cloud Technologies
If you have experience with AWS, GCP, or Azure, make sure to highlight it during the interview. Understanding cloud storage and processing is crucial for this role, so being able to discuss your familiarity with these platforms will give you an edge.
