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- Tasks: Modernise financial data systems and design integrations for real-time insights.
- Company: Gravitas Recruitment Group, a leader in finance transformation.
- Benefits: Collaborative Scrum team environment with opportunities to experiment with AI tools.
- Why this job: Join a dynamic team and make an impact on finance through innovative data solutions.
- Qualifications: Strong finance knowledge and experience with cloud-native platforms and Python.
The predicted salary is between 60000 - 80000 £ per year.
Gravitas Recruitment Group (Global) Ltd is seeking a Data Engineer to support a finance transformation program in London. The role involves modernising financial data systems, designing data integrations, and building self-service reporting solutions.
Candidates must have strong finance knowledge and experience with cloud-native platforms and Python. The position offers a collaborative environment within a Scrum team and encourages experimentation with AI tools for data discovery and requirements definition.
Finance Data Engineer - Real-Time, Cloud-Native Insights in London employer: Gravitas Recruitment Group (Global) Ltd
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Engineer - Real-Time, Cloud-Native Insights in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data engineering space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud-native platforms and Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your finance knowledge and data integration techniques. Practice common interview questions and think about how you can demonstrate your experience with AI tools.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our team.
We think you need these skills to ace Finance Data Engineer - Real-Time, Cloud-Native Insights in London
Some tips for your application 🫡
Show Off Your Finance Knowledge: Make sure to highlight your finance expertise in your application. We want to see how your background aligns with our needs, especially when it comes to modernising financial data systems.
Demonstrate Your Technical Skills: Don’t hold back on showcasing your experience with cloud-native platforms and Python. We’re looking for candidates who can hit the ground running, so let us know what you’ve built or worked on!
Be Yourself: We love a bit of personality! When writing your application, let your unique voice shine through. It helps us get to know you better and see if you’d be a good fit for our collaborative environment.
Apply Through Our Website: To make sure your application gets to us without a hitch, apply directly through our website. It’s the best way to ensure we see your amazing skills and experience right away!
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Know Your Finance Fundamentals
Make sure you brush up on your finance knowledge before the interview. Understand key concepts and be ready to discuss how they relate to data engineering. This will show that you’re not just a tech whiz but also have a solid grasp of the financial landscape.
✨Show Off Your Cloud Skills
Since the role involves cloud-native platforms, be prepared to talk about your experience with them. Bring examples of projects where you've used cloud technologies, especially in relation to data integration and reporting solutions. This will demonstrate your hands-on expertise.
✨Get Comfortable with Python
Python is a must-have for this role, so make sure you can discuss your experience with it confidently. Be ready to share specific examples of how you've used Python in data engineering tasks, particularly in automating processes or building self-service solutions.
✨Embrace Collaboration and Experimentation
This position values teamwork and innovation, so highlight your experience working in Scrum teams. Discuss any instances where you’ve collaborated on projects or experimented with AI tools for data discovery. This will show that you’re a team player who’s open to new ideas.