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- Tasks: Enhance data architecture and develop analytics solutions for impactful insights.
- Company: Berkhamsted Schools Group, a leading independent schools group focused on innovation.
- Benefits: Supportive IT team, professional development, and a culture that values new ideas.
- Why this job: Shape the future of EdTech while working with cutting-edge AI and analytics.
- Qualifications: Experience in data engineering and a passion for innovative technology.
- Other info: Hybrid work options available; early applications encouraged.
The predicted salary is between 36000 - 60000 £ per year.
Berkhamsted Schools Group is seeking a skilled Data Engineer (AI & Predictive Analytics) to help advance our digital, data, and AI capabilities. This role plays a key part in enhancing the school’s data architecture, developing analytics solutions, and supporting the delivery of impactful insights for students, staff, and operational functions.
Our IT department is a modern, collaborative, and improvement focused team committed to delivering high quality, forward thinking digital services. Working with us means contributing to meaningful, practical innovations, and a chance to shape emerging EdTech capabilities across a leading independent schools group. We offer a supportive and motivated IT team and a culture that values new ideas, professional development, and continuous improvement.
Location: Berkhamsted Schools Group (Hybrid considered)
Contract: Full-time, 12 month fixed term (renewable)
Early applications are encouraged, and interviews may take place on a rolling basis. We reserve the right to extend or close the deadline.
Data Engineer (AI Analytics and EdTech Developments) in Aberdeen employer: The Independent Schools Council
Contact Detail:
The Independent Schools Council Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (AI Analytics and EdTech Developments) in Aberdeen
✨Tip Number 1
Network like a pro! Reach out to current employees at Berkhamsted Schools Group on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Showcase your skills! Prepare a portfolio or a project that highlights your data engineering expertise, especially in AI and predictive analytics. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on relevant tools and technologies. We can even do mock interviews with friends to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have updates on new roles and opportunities directly there.
We think you need these skills to ace Data Engineer (AI Analytics and EdTech Developments) in Aberdeen
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially in AI and predictive analytics. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our digital and AI capabilities. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex data challenges. We’re looking for innovative thinkers who can enhance our data architecture and deliver impactful insights, so let us know how you’ve done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re keen on joining our collaborative and forward-thinking team!
How to prepare for a job interview at The Independent Schools Council
✨Know Your Data
Make sure you brush up on your data engineering skills, especially in AI and predictive analytics. Be ready to discuss specific projects you've worked on, the tools you used, and the impact your work had. This shows you're not just familiar with the theory but have practical experience too.
✨Understand the EdTech Landscape
Familiarise yourself with current trends in EdTech and how data plays a role in enhancing educational outcomes. Being able to discuss how your skills can contribute to the school's digital and AI capabilities will set you apart from other candidates.
✨Showcase Collaboration Skills
Since the role involves working within a modern, collaborative IT team, be prepared to share examples of how you've successfully collaborated with others in past roles. Highlight your ability to communicate complex data concepts to non-technical stakeholders.
✨Ask Insightful Questions
Prepare thoughtful questions about the school's data architecture and future projects. This not only shows your genuine interest in the role but also gives you a chance to assess if the company culture aligns with your values, especially regarding professional development and innovation.
