Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and manage AI data infrastructure while enhancing data quality.
- Company: Leading educational tech company based in Manchester with a remote-first culture.
- Benefits: Competitive rewards package and flexible working options.
- Why this job: Join a dynamic team to shape the future of education through AI.
- Qualifications: 4+ years in data engineering, strong Python and SQL skills, AI tech experience.
- Other info: Exciting opportunity for career growth in a collaborative environment.
The predicted salary is between 55000 - 70000 £ per year.
A leading educational technology company in Manchester is seeking a Senior AI Data Engineer to design and manage AI data infrastructure. You will collaborate across teams to enhance data quality and implement scalable pipelines.
Ideal candidates will have:
- Over 4 years in data engineering
- Strong skills in Python and SQL
- Experience with AI technologies
The role offers a competitive rewards package and promotes a remote-first culture.
Senior AI Data Engineer: Real-Time Pipelines & ML Ops in Manchester employer: Turnitin
Contact Detail:
Turnitin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Data Engineer: Real-Time Pipelines & ML Ops in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give us insights into the company culture and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with AI technologies, Python, and SQL. We love seeing real-world applications of your expertise!
✨Tip Number 3
Ace the interview by practising common questions related to data engineering and AI. 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! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Senior AI Data Engineer: Real-Time Pipelines & ML Ops in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI technologies and how you can contribute to our mission at StudySmarter. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills: Since this role involves working across teams, make sure to mention any collaborative projects you've been part of. We value teamwork, so share examples of how you’ve enhanced data quality or implemented scalable pipelines with others.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our remote-first culture at StudySmarter!
How to prepare for a job interview at Turnitin
✨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 implemented these technologies, especially in relation to AI data infrastructure.
✨Showcase Your Collaboration Skills
Since the role involves working across teams, prepare examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and how you’ve enhanced data quality through teamwork.
✨Prepare for Technical Questions
Expect technical questions related to real-time pipelines and ML Ops. Review common challenges in these areas and think about how you would approach solving them. Being able to articulate your thought process is key!
✨Embrace the Remote Culture
As the company promotes a remote-first culture, be ready to discuss how you manage your time and productivity while working remotely. Share any tools or strategies you use to stay connected with your team and maintain high-quality work.