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- Tasks: Build data foundations for an AI-native platform in a high-growth startup.
- Company: Join a cutting-edge AI startup transforming education with innovative technology.
- Benefits: Up to £145k salary, meaningful equity, and opportunities for growth.
- Why this job: Make a real impact by solving complex data challenges in education.
- Qualifications: Strong background in data engineering and experience with messy data environments.
- Other info: Work directly with CIOs and institutional teams in a dynamic setting.
The predicted salary is between 87000 - 145000 £ per year.
Up to £145k per year + meaningful equity. Oliver Bernard is partnering with a high-growth AI startup building an AI-native platform for universities, starting with one anchor institution and scaling globally. The core challenge is data: fragmented systems, inconsistent schemas, heavy regulation, and slow onboarding. This role owns building the data foundations that make scale possible.
What you’ll do:
- Build ingestion pipelines across SIS, LMS, CRM, and document systems
- Design equivalency layers to abstract institutional differences
- Prepare data for AI-native discovery, search, and agentic workflows
- Work directly with CIOs and institutional data teams
What we’re looking for:
- Strong data or platform engineering background
- Proven experience in messy, real-world data environments
- Hands-on ownership of ingestion and architecture
- Experience in regulated domains (edu, healthcare, govtech, fintech)
Founding Data Engineer - up to £145k per year employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Data Engineer - up to £145k per year
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at AI startups or in data engineering roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving messy data environments. This will give potential employers a taste of what you can do and how you tackle real-world challenges.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data ingestion pipelines and architecture. Be ready to discuss your hands-on experience and how you've navigated regulated domains like education or healthcare.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Founding Data Engineer - up to £145k per year
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Founding Data Engineer. Highlight your experience with data ingestion and architecture, especially in regulated domains like education or healthcare. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about building data foundations for AI-native platforms. Share specific examples of your work with messy data environments and how you've tackled challenges in the past.
Showcase Relevant Projects: If you've worked on projects that involved designing equivalency layers or preparing data for AI workflows, make sure to include them. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of data systems mentioned in the job description, like SIS, LMS, and CRM. Brush up on your experience with messy data environments and be ready to discuss specific challenges you've faced and how you overcame them.
✨Showcase Your Technical Skills
Prepare to demonstrate your technical expertise in building ingestion pipelines and designing equivalency layers. Bring examples of your past work that highlight your hands-on ownership of data architecture, especially in regulated domains like education or healthcare.
✨Understand the Company’s Vision
Research the AI startup and its mission to build an AI-native platform for universities. Be prepared to discuss how your skills can contribute to their goals and how you can help tackle the core challenges they face with data.
✨Engage with the Interviewers
Don’t just wait for questions; engage with the interviewers by asking insightful questions about their data challenges and future plans. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
