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- Tasks: Build scalable data architectures and create ingestion pipelines for educational institutions.
- Company: High-growth AI startup in Greater London with a focus on innovation.
- Benefits: Competitive salary up to £145k, equity, and opportunities for growth.
- Why this job: Join a pioneering team and shape the future of AI in education.
- Qualifications: Strong background in data engineering and experience with messy data environments.
- Other info: Hands-on role with ownership of data processes in a dynamic startup.
The predicted salary is between 86400 - 120000 £ per year.
A high-growth AI startup in Greater London seeks a data engineer to build foundational data architectures that enable scalability for educational institutions. Your responsibilities will include:
- Creating ingestion pipelines from various systems
- Designing equivalency layers for data consistency
- Preparing data for AI-specific operations
Ideal candidates have a strong background in data engineering, experience in messy data environments, and hands-on ownership of data ingestion processes. Competitive salary up to £145k plus equity.
Founding Data Engineer — Scale AI for Universities (Equity) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Data Engineer — Scale AI for Universities (Equity)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving messy data environments. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and data engineering. Practice common interview questions and be ready to discuss how you've tackled challenges in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your experience with data ingestion processes and scalability in educational settings.
We think you need these skills to ace Founding Data Engineer — Scale AI for Universities (Equity)
Some tips for your application 🫡
Show Off Your Data Skills: When you're writing your application, make sure to highlight your experience in data engineering. We want to see how you've tackled messy data environments and what kind of ingestion pipelines you've built. Be specific about your hands-on ownership of projects!
Tailor Your Application: Don’t just send a generic application our way! Take the time to tailor your CV and cover letter to match the job description. Mention how your skills align with building foundational data architectures for educational institutions. We love seeing that personal touch!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary and avoid jargon unless it’s relevant to the role. Remember, clarity is key!
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 role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around building ingestion pipelines and designing data architectures. Be ready to discuss your past experiences with messy data environments and how you tackled those challenges.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've handled data inconsistencies or built scalable solutions in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Familiarise Yourself with AI Operations
Since the role involves preparing data for AI-specific operations, make sure you understand the basics of AI and machine learning. Being able to discuss how data quality impacts AI outcomes will impress your interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they envision the role of a data engineer in their growth. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
