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- Tasks: Lead data engineering projects, mentor developers, and manage deliverables across teams.
- Company: A leading academic publisher in the UK with a focus on innovation.
- Benefits: Competitive benefits, flexible work arrangements, and hybrid working options.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: Strong technical background in AWS and Big Data solutions.
- Other info: Great opportunity for career growth and mentorship.
The predicted salary is between 48000 - 72000 £ per year.
A leading academic publisher in the UK is seeking a Delivery Manager with a strong technical background. You will mentor developers, manage deliverables, and oversee data engineering processes while collaborating across teams. The ideal candidate should have relevant technical expertise and experience in AWS and Big Data solutions. This hybrid role offers competitive benefits and flexible work arrangements.
Data Engineering Tech Lead — Hybrid & Mentorship in Newtown employer: Cambridge University Press & Assessment
Contact Detail:
Cambridge University Press & Assessment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Tech Lead — Hybrid & Mentorship in Newtown
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data engineering or at companies you're interested in. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and Big Data solutions. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering. We recommend practicing with a friend or using online resources to simulate the interview experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineering Tech Lead — Hybrid & Mentorship in Newtown
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your technical expertise, especially in AWS and Big Data solutions. We want to see how your experience aligns with the role, 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 data engineering and how your mentorship style can benefit our team. Let us know what makes you the perfect fit for this hybrid role.
Showcase Your Collaboration Skills: Since this role involves working across teams, make sure to highlight any past experiences where you’ve successfully collaborated with others. We love seeing examples of teamwork and communication in action!
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’s super easy!
How to prepare for a job interview at Cambridge University Press & Assessment
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially around AWS and Big Data solutions. Be ready to discuss specific projects where you've applied these technologies, as this will show your expertise and confidence.
✨Showcase Your Mentorship Skills
Since the role involves mentoring developers, prepare examples of how you've successfully guided team members in the past. Highlight your approach to fostering growth and collaboration within a team setting.
✨Understand the Company Culture
Research the academic publisher's values and mission. Tailor your responses to reflect how your personal values align with theirs, demonstrating that you're not just a fit for the role but also for the company culture.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and decision-making processes. Think of scenarios where you've had to manage deliverables or overcome challenges in data engineering, and be ready to share those experiences.
