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- Tasks: Lead the development of a modern data platform and oversee data pipeline operations.
- Company: Crisis in Greater London, focused on mission-driven analytics.
- Benefits: Competitive salary, flexible working, and 28 days of annual leave.
- Other info: Join a passionate team dedicated to impactful analytics and social change.
- Why this job: Make a real difference by leading innovative data solutions for a meaningful cause.
- Qualifications: Experience in cloud environments like Microsoft Fabric and Azure, plus leadership skills.
The predicted salary is between 50000 - 65000 £ per year.
Crisis in Greater London is seeking a Data Engineering Manager to lead the development of a modern data platform. You will oversee the design and operation of data pipelines to ensure reliable data flows across the organisation.
The ideal candidate will have strong experience in cloud environments like Microsoft Fabric and Azure, and enjoy leading technical teams while translating needs into efficient data solutions.
This role offers a competitive salary alongside benefits like flexible working and 28 days of annual leave.
Data Platform Lead for Mission-Driven Analytics employer: Crisis
Contact Detail:
Crisis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Lead for Mission-Driven Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Platform Lead role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects and achievements in data engineering. We want to see how you've tackled challenges and delivered results, especially in cloud environments like Microsoft Fabric and Azure.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and leadership skills. We recommend practising common interview questions related to data pipelines and team management so you can confidently demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Platform Lead for Mission-Driven Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud environments like Microsoft Fabric and Azure. We want to see how your skills align with the role of Data Engineering Manager, so don’t hold back on 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 leading technical teams and how you can contribute to developing a modern data platform. Let us know what drives you in this field!
Showcase Your Leadership Skills: Since this role involves leading teams, make sure to highlight any previous leadership experiences. We love to see examples of how you've successfully translated needs into efficient data solutions in your past roles.
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 Crisis
✨Know Your Data Tools
Make sure you brush up on your knowledge of cloud environments, especially Microsoft Fabric and Azure. Be ready to discuss how you've used these tools in past projects and how they can be applied to create efficient data solutions.
✨Showcase Leadership Skills
As a Data Engineering Manager, you'll need to lead technical teams. Prepare examples of how you've successfully managed teams in the past, focusing on your approach to translating complex needs into actionable data strategies.
✨Understand the Organisation's Mission
Familiarise yourself with the mission of Crisis in Greater London. Being able to articulate how your work aligns with their goals will demonstrate your commitment and understanding of the role's impact.
✨Prepare for Technical Questions
Expect to face technical questions related to data pipelines and architecture. Brush up on your knowledge of best practices in data engineering and be ready to discuss how you would tackle specific challenges in building a modern data platform.