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- Tasks: Lead a team of data engineers and manage exciting data projects in finance.
- Company: Dynamic financial services firm based in Brighton with a focus on innovation.
- Benefits: Attractive salary, bonuses, and a flexible hybrid work environment.
- Why this job: Join a cutting-edge team and shape the future of finance with AI and cloud tech.
- Qualifications: Strong background in data architecture, engineering, and Azure cloud transitions.
- Other info: Opportunity for career growth in a fast-paced, collaborative setting.
The predicted salary is between 125000 - 150000 £ per year.
A financial services firm in Brighton is looking for an experienced Data Engineering Manager to lead a team of data engineers. This hands-on role involves managing the delivery of data projects and ensuring compliance with FCA regulations.
The ideal candidate will have strong experience in data architecture and engineering, particularly in cloud transitions using Azure, as well as expertise in AI and ML integration.
The position offers a salary range of £125k-150k plus bonuses and a flexible hybrid work environment.
Azure AI Data Engineering Manager – Finance | Hybrid in Eastbourne employer: Joseph Harry Ltd
Contact Detail:
Joseph Harry Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure AI Data Engineering Manager – Finance | Hybrid in Eastbourne
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to Azure and data engineering. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving Azure, AI, and ML. 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 compliance regulations and data architecture principles. Be ready to discuss how you've successfully led teams through cloud transitions and delivered impactful data projects.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and aspirations. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Azure AI Data Engineering Manager – Finance | Hybrid in Eastbourne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and engineering, especially with Azure. We want to see how your skills align with the role, so don’t be shy about showcasing your cloud transition projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Engineering Manager role. Share specific examples of your leadership in data projects and your understanding of FCA regulations.
Showcase Your AI and ML Expertise: Since this role involves AI and ML integration, make sure to highlight any relevant projects or experiences. We’re keen to see how you’ve applied these technologies in your previous roles, so don’t hold back!
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 – just follow the prompts!
How to prepare for a job interview at Joseph Harry Ltd
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge, especially around data architecture and engineering. Be ready to discuss specific projects where you've successfully managed cloud transitions using Azure, as this will show your hands-on experience.
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to lead a team effectively. Prepare examples of how you've managed teams in the past, focusing on your approach to mentoring and ensuring compliance with regulations like those from the FCA.
✨Demonstrate AI and ML Expertise
Since the role involves AI and ML integration, be prepared to discuss your experience with these technologies. Bring examples of how you've implemented AI solutions in previous projects and the impact they had on the business.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy and how they envision the role evolving. This shows your genuine interest and helps you assess if the company is the right fit for you.