At a Glance
- Tasks: Lead a team of engineers to build high-performance data systems using Python and AWS.
- Company: Join a top recruitment firm known for its innovative approach and supportive culture.
- Benefits: Enjoy a competitive salary up to £120k and opportunities for professional growth.
- Why this job: Make a real impact by guiding a talented team in cutting-edge data technology.
- Qualifications: Proven experience in managing engineering teams and expertise in large-scale data processing.
- Other info: Based in Greater London, this role offers a dynamic work environment.
The predicted salary is between 72000 - 84000 £ per year.
A leading recruitment firm is seeking an Engineering Manager to guide a squad of engineers in developing high-performance data systems. This role combines technical expertise in Python and AWS with leadership responsibilities, ensuring software quality and team development.
Candidates should have experience in managing engineering teams and a strong background in large-scale data processing. The position is based in Greater London with a competitive salary of up to £120k.
Hands-On Python Engineering Manager — Data Platform employer: Creo Recruitment
Contact Detail:
Creo Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hands-On Python Engineering Manager — Data Platform
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data engineering or management 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! Prepare a portfolio or a project showcase that highlights your experience with Python and AWS. This will not only demonstrate your technical expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on leadership scenarios and how you've managed teams in the past, as this role is all about guiding engineers.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Hands-On Python Engineering Manager — Data Platform
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your technical expertise in Python. We want to see how you've used it in past projects, especially in large-scale data processing. Don't hold back on the details!
Leadership Experience is Key: Since this role involves guiding a squad of engineers, we need to know about your leadership experience. Share examples of how you've managed teams and fostered their development in your application.
Tailor Your Application: Take a moment to customise your application for this specific role. We love seeing candidates who take the time to align their skills and experiences with what we're looking for in an Engineering Manager.
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 from our team!
How to prepare for a job interview at Creo Recruitment
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, including any specific frameworks or libraries you've used. They’ll likely want to know how you’ve applied your technical expertise in real-world scenarios.
✨Showcase Your Leadership Style
As an Engineering Manager, your leadership style is crucial. Prepare examples of how you've successfully managed teams in the past, focusing on how you foster collaboration and drive performance. Think about challenges you've faced and how you overcame them while supporting your team.
✨Demonstrate Your AWS Knowledge
Since this role involves AWS, be prepared to discuss your experience with cloud services. Familiarise yourself with the latest AWS offerings and think about how you've leveraged these tools in previous projects. They’ll want to see that you can guide your team in using these technologies effectively.
✨Prepare for Data Processing Scenarios
Given the focus on large-scale data processing, come equipped with examples of projects where you've handled significant data challenges. Be ready to explain your approach to ensuring software quality and how you’ve optimised data systems in the past.