At a Glance
- Tasks: Join a paid 10-week training in Data Engineering, followed by a 2-year placement.
- Company: Leading training organisation partnered with a prestigious financial services client.
- Benefits: Paid training, guaranteed job placement, and hands-on experience.
- Why this job: Kickstart your career in data engineering with real-world experience and support.
- Qualifications: Technical background with skills in Python or Java; basic data tech knowledge.
- Other info: Great opportunity for long-term career growth in a thriving industry.
The predicted salary is between 20000 - 30000 £ per year.
A leading training organization is seeking candidates for a paid 10-week cross-training in Data Engineering, followed by a guaranteed 2-year full-time placement with a prestigious financial services client.
Ideal applicants should have a technical background with skills in Python or Java, and basic knowledge of data technologies.
This program offers hands-on experience and continuous support for building a long-term career in the industry.
CDS Data Engineer — Paid Training + 2-Year Glasgow Placement employer: Revolent Group
Contact Detail:
Revolent Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CDS Data Engineer — Paid Training + 2-Year Glasgow Placement
✨Tip Number 1
Network like a pro! Reach out to current or past employees in the data engineering field. They can provide insider info about the role and might even refer you, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects you've done in Python or Java. This will not only demonstrate your technical abilities but also your passion for data engineering.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re here to support you every step of the way in landing that dream job!
We think you need these skills to ace CDS Data Engineer — Paid Training + 2-Year Glasgow Placement
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical background in Python or Java. We want to see how your skills align with the role, so don’t hold back on showcasing any relevant projects or experiences!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention why you're excited about the paid training and the opportunity to work with a prestigious financial services client. It shows us you’re genuinely interested!
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon. We appreciate a well-structured application that’s easy to read and gets straight to the point.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Revolent Group
✨Know Your Tech
Brush up on your Python or Java skills before the interview. Be ready to discuss your experience with these languages and any data technologies you've worked with. Showing confidence in your technical abilities will impress the interviewers.
✨Show Enthusiasm for Learning
Since this role involves a 10-week training programme, express your eagerness to learn and grow. Share examples of how you've tackled new challenges in the past, and highlight your commitment to building a long-term career in data engineering.
✨Prepare for Practical Questions
Expect some hands-on questions or coding challenges during the interview. Practise solving problems related to data engineering, and be prepared to explain your thought process. This will demonstrate your analytical skills and problem-solving approach.
✨Research the Company
Familiarise yourself with the financial services client you'll be working with. Understanding their business model and how data engineering plays a role can give you an edge. It shows that you're genuinely interested in the position and the impact you can make.