At a Glance
- Tasks: Build and optimise data pipelines while diving into AI insights.
- Company: PLP Group, a forward-thinking firm in Central London.
- Benefits: Share options, generous holidays, and flexible working arrangements.
- Other info: Exciting opportunities for growth in a dynamic environment.
- Why this job: Join a fast-paced team and shape the future of finance with data.
- Qualifications: STEM degree or some experience in data engineering; Python and SQL skills required.
The predicted salary is between 28000 - 38000 £ per year.
PLP Group is seeking a Graduate Data Engineer to join their Central London team. This role offers graduates the opportunity to work on data pipelines and automation within a fast-paced environment focused on AI adoption in financial services.
Ideal candidates will have:
- A STEM degree or limited experience in data engineering
- Proficiency in Python and SQL
- A keen interest in data infrastructure
Benefits include share options, generous holidays, and a flexible working arrangement.
Junior Data Engineer – Cloud Pipelines & AI Insights employer: PLP Group
PLP Group is an excellent employer for aspiring data engineers, offering a dynamic work environment in Central London that fosters innovation and collaboration. With a strong focus on AI adoption in financial services, employees benefit from generous holidays, share options, and flexible working arrangements, all while having ample opportunities for professional growth and development in a cutting-edge field.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer – Cloud Pipelines & AI Insights
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend local meetups. You never know who might have a lead on that Junior Data Engineer role at PLP Group.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python and SQL projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Practice explaining your thought process when tackling problems, especially those related to data pipelines and automation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Junior Data Engineer – Cloud Pipelines & AI Insights
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your proficiency in Python and SQL in your application. We want to see how your skills can contribute to our data pipelines and automation efforts!
Tailor Your CV:Don’t just send a generic CV! Tailor it to the Junior Data Engineer role by emphasising any relevant projects or coursework from your STEM degree that relate to data engineering.
Craft a Compelling Cover Letter:Use your cover letter to express your keen interest in data infrastructure and AI adoption. Let us know why you’re excited about this opportunity and how you can add value to our team.
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 don’t miss out on any important updates!
How to prepare for a job interview at PLP Group
✨Know Your Tech
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss any projects or coursework where you've used these languages, as they’ll want to see your practical knowledge.
✨Show Your Passion for Data
Demonstrate your keen interest in data infrastructure and AI. Share any personal projects or experiences that highlight your enthusiasm for working with data pipelines and automation.
✨Understand the Company’s Focus
Research PLP Group and their approach to AI in financial services. Being able to discuss how your skills align with their goals will show that you’re genuinely interested in the role and the company.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about their current projects or the team dynamics. It shows you’re engaged and eager to learn more about the role.
