At a Glance
- Tasks: Lead a dynamic team in data architecture and engineering, driving innovative projects.
- Company: Join a forward-thinking financial client in Brighton with a strong Agile culture.
- Benefits: Attractive salary, bonus, pension, and flexible hybrid working arrangements.
- Why this job: Make a real impact by implementing cutting-edge AI and cloud solutions in finance.
- Qualifications: Proven experience in data engineering management and familiarity with Azure and financial regulations.
- Other info: Opportunity for rapid career growth in a supportive and collaborative environment.
The predicted salary is between 125000 - 150000 £ per year.
Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Brighton.
You MUST have the following:
- Good experience as a Data Engineering Manager/Lead Data Architect
- Strong management experience - inheriting teams, raising standards and performance
- Strategy to align with the needs of the business
- Excellent design and architecture ability
- MS SQL Server
- Azure AI - even if outside work
- Agile
- Experience in a financial environment
Role details:
You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company's strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of.
Experience and capabilities:
On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business' goals and evolution.
Management and compliance:
On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective.
Delivery and benefits:
The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly.
Working arrangement:
The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week.
Salary: £125k - 150k + Bonus + Pension
Data Engineering Manager Azure AI Finance Brighton in Eastbourne employer: Joseph Harry Ltd
Contact Detail:
Joseph Harry Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager Azure AI Finance Brighton in Eastbourne
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your past projects and how you’ve led teams to success. Use real examples that highlight your experience with Azure, AI, and data architecture.
✨Tailor Your Approach
Every company is different, so make sure you understand their needs. Research the company’s goals and align your skills with what they’re looking for. This shows you’re not just another candidate but someone who gets their vision.
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We think you need these skills to ace Data Engineering Manager Azure AI Finance Brighton in Eastbourne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience with Azure, AI, and financial services. We want to see how your skills align with what we're looking for!
Showcase Your Management Skills: Since this role involves leading a team, don’t forget to mention your management experience. Share examples of how you've raised standards and improved team performance. We love seeing strong leadership!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance at joining our team!
How to prepare for a job interview at Joseph Harry Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, AI, and ML technologies. Brush up on your experience with MS SQL Server, Databricks, and Snowflake. Be ready to discuss specific projects where you’ve implemented these tools, as this will show your hands-on expertise.
✨Showcase Your Management Skills
Prepare examples of how you've successfully inherited teams and raised performance standards. Highlight your experience in line management and how you’ve aligned team goals with business strategy. This will demonstrate your leadership capabilities.
✨Understand the Financial Landscape
Familiarise yourself with the FCA regulations and compliance requirements relevant to data management in finance. Being able to discuss how you’ve navigated these challenges in previous roles will set you apart from other candidates.
✨Be Ready for Hands-On Discussions
Since this role is very hands-on, be prepared to dive into technical discussions about data architecture and engineering. Think of scenarios where you’ve contributed to technical delivery and be ready to share your thought process on design and architecture decisions.