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- Tasks: Analyse and manage financial data to support global payment solutions.
- Company: Moneycorp, a leader in global payments with over 45 years of experience.
- Benefits: Fixed term contract, competitive pay, and opportunities for professional growth.
- Why this job: Join a dynamic team making a real impact in the world of finance.
- Qualifications: Experience in data engineering and a passion for finance.
- Other info: Work in a fast-paced environment with a focus on innovation.
The predicted salary is between 36000 - 60000 £ per year.
Please note: we are offering this position as a fixed term contract.
Moneycorp powers global payments for corporates, institutions and high net worth individuals, combining worldwide reach with local expertise. With over 45 years of market experience, two banking licences and offices in 11 countries, our technology delivers 24/7 accessibility, while our people deliver award-winning service. In 2024, we supported £79bn+ of international payments, reaching 190 countries in 130 currencies. Our 32k+ corporate clients benefit from our regulatory resilience with 63+ permissions globally, access to major.
Finance Data Engineer in London employer: Moneycorp
Contact Detail:
Moneycorp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the finance and tech sectors, especially those who work at Moneycorp. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data engineering prowess. When you get the chance to chat with recruiters, having something tangible to discuss can really set you apart.
✨Tip Number 3
Be ready for the interview! Research Moneycorp’s services and recent achievements. Knowing their business inside out will help you tailor your answers and show you're genuinely interested in being part of their team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re keen on joining us at Moneycorp!
We think you need these skills to ace Finance Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Finance Data Engineer role. Highlight relevant experience and skills that match the job description. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background fits with our mission at Moneycorp. Keep it engaging and personal.
Showcase Your Technical Skills: As a Finance Data Engineer, we’re keen to see your technical prowess. Be sure to include specific tools, languages, or methodologies you’ve worked with that are relevant to the position. This helps us understand your expertise!
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 to do!
How to prepare for a job interview at Moneycorp
✨Know Your Numbers
As a Finance Data Engineer, you’ll need to be comfortable with data and numbers. Brush up on key financial metrics and data analysis techniques relevant to the role. Be prepared to discuss how you've used data to drive decisions in your previous roles.
✨Understand the Company
Research Moneycorp thoroughly. Understand their services, market position, and recent news. This will not only help you answer questions but also show your genuine interest in the company and its mission.
✨Prepare for Technical Questions
Expect technical questions related to data engineering and finance. Review common tools and technologies used in the industry, such as SQL, Python, or ETL processes. Practising coding problems or data manipulation scenarios can give you an edge.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical thinking and problem-solving abilities.
