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- Tasks: Lead a team of data engineers to build a robust data platform.
- Company: A top gift experience provider with a focus on innovation.
- Benefits: Competitive salary, hybrid work options, and career growth opportunities.
- Why this job: Join a passionate team and make a real impact in data management.
- Qualifications: Experience in data engineering and mentorship skills.
- Other info: Dynamic work environment with a strong emphasis on professional development.
The predicted salary is between 43200 - 72000 £ per year.
A leading gift experience provider is seeking a Data Engineering Manager to lead their Data Engineering team. You will manage data engineers and ensure the development of a robust data platform that supports the business. This role requires a passion for data, experience in mentorship, and ownership from data architecture to production. The position offers a competitive salary, hybrid working conditions, and a focus on career growth.
Data Engineering Manager — Lead Data Platform (Hybrid London) employer: Moonpig
Contact Detail:
Moonpig Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager — Lead Data Platform (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your passion for data! In interviews, share specific examples of how you've tackled data challenges in the past. This will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 3
Prepare for technical questions! Brush up on your data architecture knowledge and be ready to discuss your experience with data platforms. We want to see that you can lead the team effectively.
✨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 Manager — Lead Data Platform (Hybrid London)
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! Share specific examples of projects or experiences that highlight your love for data and how it drives your work.
Highlight Your Leadership Skills: As a Data Engineering Manager, you'll be leading a team. Make sure to showcase your mentorship experience and any leadership roles you've had in the past. We want to see how you can inspire and guide others!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the skills and experiences that align with the job description. This shows us you’re genuinely interested in the role.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Moonpig
✨Know Your Data Inside Out
Make sure you’re well-versed in data architecture and the specific technologies used by the company. Brush up on your knowledge of data platforms, ETL processes, and any relevant tools they might be using. This will show your passion for data and your readiness to lead.
✨Showcase Your Mentorship Skills
Prepare examples of how you've successfully mentored team members in the past. Think about specific situations where you helped someone grow or overcome challenges. This will demonstrate your leadership style and commitment to developing others in the field.
✨Understand the Business Impact
Be ready to discuss how a robust data platform can drive business success. Research the company’s goals and think about how your role as a Data Engineering Manager can contribute to achieving them. This shows that you’re not just focused on the technical side but also on the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future goals of the data platform. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values and career aspirations.
