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For Companies At a Glance
- Tasks: Lead and develop a strong data engineering team while shaping technical direction.
- Company: Join a forward-thinking company focused on impactful data solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference by enhancing a vital data platform for customers.
- Qualifications: Experience in data management and leadership skills required.
- Other info: Dynamic role with a focus on sustainable and innovative data practices.
The predicted salary is between 48000 - 72000 £ per year.
Not every Engineering Manager role is about running sprints or firefighting delivery issues.
This one is about building strong teams, setting clear technical direction, and helping a data platform mature in a way that is sustainable, consistent and genuinely useful to customers.
You will not be coding day to day, ...
Data Engineering Manager employer: Circle Group
Contact Detail:
Circle Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your leadership skills. Since this role is all about building strong teams, be ready to share examples of how you've successfully managed teams and set clear technical directions in the past.
✨Tip Number 3
Showcase your understanding of data platforms! Make sure you can discuss how you've helped data products mature in a sustainable way. This will demonstrate your fit for the role and your commitment to delivering genuine value to customers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly helps us keep track of your application and get you in front of the right people faster.
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Show Your Leadership Skills: When writing your application, make sure to highlight your experience in building and leading teams. We want to see how you've set clear technical directions and helped your previous teams grow.
Tailor Your Application: Don’t just send a generic CV! Take the time to tailor your application to our Data Engineering Manager role. Mention specific experiences with Python and AWS that align with what we’re looking for.
Be Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points where necessary to break down your achievements and skills.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role!
How to prepare for a job interview at Circle Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills mentioned in the job description, like Python and AWS. Brush up on your knowledge of data engineering principles and be ready to discuss how you've applied them in past roles.
✨Showcase Your Leadership Skills
Since this role focuses on building strong teams, prepare examples that highlight your leadership experience. Think about times when you’ve successfully guided a team through challenges or helped them grow professionally.
✨Understand the Company’s Data Vision
Research the company’s data products and their vision for the data platform. Be prepared to discuss how you can contribute to maturing their data platform in a sustainable way, showing that you align with their goals.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the company culture, and the future direction of their data initiatives. This shows your genuine interest and helps you assess if it’s the right fit for you.
