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For Companies At a Glance
- Tasks: Design and build scalable data pipelines for AI-driven learning analytics.
- Company: Join a forward-thinking EdTech company in London.
- Benefits: Competitive salary, on-site work, and opportunities for professional growth.
- Why this job: Make a difference in education through innovative data solutions.
- Qualifications: Strong Python and SQL skills, with experience in data engineering.
- Other info: Collaborative environment with a focus on cutting-edge technology.
The predicted salary is between 36000 - 60000 £ per year.
Location: London, UK
Work Model: On-site
Role Type: Full-Time
We are looking for a Learning Data Engineer with strong experience in Python and data pipelines to join our client’s on-site team in London. This role focuses on designing, building, and maintaining scalable data pipelines that power AI-driven learning analytics and personalized education.
What You’ll Do
- Develop pipelines for ingestion, transformation, and embedding of educational content
- Support LLM-based learning applications with vector databases and semantic search
- Collaborate with AI engineers and educators to optimize adaptive learning systems
- Ensure data privacy, security, and compliance in educational environments
- Monitor and optimize data workflows and AI pipelines for production
Required Skills & Experience
- Strong experience with Python, SQL, and data engineering frameworks
- Knowledge of vector databases (Pinecone, Weaviate, Milvus)
- Experience integrating data pipelines for AI/ML applications
- Understanding of EdTech data workflows and student learning analytics
Nice to Have
- Cloud experience (GCP, AWS, Azure)
- Familiarity with LLM-based learning applications
- Experience with MLOps for education-focused AI
Learning Data Engineer – AI & Analytics employer: Talenzon group
Contact Detail:
Talenzon group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Learning Data Engineer – AI & Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the EdTech and data engineering space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and any projects you've worked on, especially those related to AI and learning analytics. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and SQL. Practice coding challenges and be ready to discuss your experience with data workflows and AI applications. We recommend using platforms that offer mock interviews to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Learning Data Engineer – AI & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data engineering frameworks. We want to see how your skills align with the role of Learning Data Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and analytics in education. We love seeing candidates who can connect their personal experiences with our mission at StudySmarter.
Showcase Your Projects: If you've worked on any data pipelines or AI/ML applications, make sure to mention them! We’re keen to see real examples of your work, especially those that demonstrate your understanding of EdTech data workflows.
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’re considered for the Learning Data Engineer position. Plus, it’s super easy!
How to prepare for a job interview at Talenzon group
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built data pipelines or worked with vector databases like Pinecone or Weaviate. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Collaboration Skills
Since this role involves working closely with AI engineers and educators, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you optimised systems or improved workflows through teamwork.
✨Understand the EdTech Landscape
Familiarise yourself with current trends in EdTech and how data analytics is shaping personalised learning. Being able to discuss these topics will demonstrate your passion for the field and your understanding of how data can enhance educational outcomes.
✨Prepare Questions About Compliance
Data privacy and security are crucial in educational environments. Prepare thoughtful questions about how the company ensures compliance and protects student data. This shows that you take these issues seriously and are proactive about maintaining ethical standards.
