Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain scalable data pipelines for AI-driven learning analytics.
- Company: Leading analytics firm in Greater London with a focus on education.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a team that shapes the future of education through innovative data solutions.
- Qualifications: Strong experience in Python and SQL, with a passion for education technology.
- Other info: Collaborate with AI engineers in a dynamic and supportive environment.
The predicted salary is between 28800 - 48000 £ per year.
A leading analytics firm in Greater London is seeking a Learning Data Engineer to join their on-site team. The ideal candidate has strong experience in Python and SQL, focusing on building and maintaining scalable data pipelines for AI-driven learning analytics.
Responsibilities include:
- Developing data workflows
- Optimizing learning systems
- Ensuring data privacy in educational environments
This role offers an opportunity to collaborate with AI engineers and contribute to innovative education-focused projects.
AI-Powered Education Data Engineer employer: Talenzon group
Contact Detail:
Talenzon group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Powered Education Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. We all know that actions speak louder than words, so let your work do the talking when you get the chance to chat with potential employers.
✨Tip Number 3
Prepare for those interviews! Research common questions for data engineering roles and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI-Powered Education Data Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've built and maintained data pipelines before, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Mention your experience with AI-driven projects and how you can contribute to our innovative education-focused initiatives.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the role of Learning Data Engineer.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Talenzon group
✨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 built or maintained data pipelines, as this will show your hands-on experience and technical prowess.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to data workflows or optimising learning systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand Data Privacy Regulations
Since ensuring data privacy is crucial in educational environments, make sure you’re familiar with relevant regulations like GDPR. Be prepared to discuss how you’ve implemented data privacy measures in past projects to demonstrate your commitment to ethical data handling.
✨Collaborate and Communicate
This role involves working closely with AI engineers, so be ready to discuss your teamwork experiences. Share examples of how you've effectively communicated complex data concepts to non-technical stakeholders, showcasing your ability to bridge the gap between tech and education.
