Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable data solutions to enhance Finance & Treasury reporting.
- Company: Leading financial services provider in London with a focus on innovation.
- Benefits: Competitive salary, private medical insurance, and hybrid working model.
- Why this job: Join a dynamic team and make a real impact in finance through data engineering.
- Qualifications: Extensive SQL skills and experience with relational databases; Python knowledge is a plus.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial services provider in London seeks an experienced Data Engineer to enhance Finance & Treasury reporting through scalable data solutions. The role involves developing data pipelines, managing core data infrastructure, and ensuring data security.
Candidates should possess extensive SQL skills, experience with relational databases, and ideally familiarity with Microsoft Fabric and Python.
This full-time position offers a competitive salary along with benefits, including private medical insurance, and supports a hybrid working model.
Finance Data Engineer – Contract for Modern Data & Analytics employer: Moneycorp
Contact Detail:
Moneycorp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Engineer – Contract for Modern Data & Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data engineering space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your SQL prowess and any cool stuff you've done with Python.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions. We recommend practising how you'd explain your approach to building scalable data solutions.
✨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 take that extra step!
We think you need these skills to ace Finance Data Engineer – Contract for Modern Data & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL skills and experience with relational databases. We want to see how your background aligns with the role of a Finance Data Engineer, 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 enhancing Finance & Treasury reporting and how your skills in data pipelines and security can make a difference at StudySmarter.
Showcase Your Technical Skills: If you’ve got experience with Microsoft Fabric and Python, make sure to mention it! We love seeing candidates who are well-rounded in their technical abilities, so don’t forget to include any relevant tools or technologies you’ve worked with.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Moneycorp
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL to solve real-world problems in your previous roles. Practising with sample datasets can help you articulate your thought process during the interview.
✨Showcase Your Data Pipeline Experience
Be ready to talk about your experience in developing data pipelines. Think of specific projects where you’ve built or optimised these pipelines, and be prepared to explain the challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Familiarity with Microsoft Fabric and Python
If you have experience with Microsoft Fabric and Python, make sure to highlight it! Prepare examples of how you've used these tools in your work, especially in relation to data security and infrastructure management. If you're not as familiar, consider doing a quick crash course to get the basics down.
✨Understand the Company’s Data Needs
Research the financial services provider and understand their specific data needs and challenges. Tailor your responses to show how your skills can directly benefit their Finance & Treasury reporting. This shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their success.
