At a Glance
- Tasks: Transform and manage financial data to support global payment solutions.
- Company: Join Moneycorp, a leader in global payments with a collaborative culture.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Fixed term contract with potential for career advancement in a global company.
- Why this job: Be part of a dynamic team making a real impact in the finance tech space.
- Qualifications: Experience in data engineering and a passion for finance technology.
The predicted salary is between 30000 - 32000 £ per year.
Description Position at Moneycorp Please note: we are offering this position as a fixed term contract.
Who We Are 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 payment rails, and proprietary technology.
Moneycorp is a place where energy, commitment to our shared success, and collaboration are core to our values.
We’re restless in our drive to surpass the expectations of our customers and unlock opportunities to support them at every stage of their journey.
The foundation of our success is our people, and nurturing a culture of belonging for all our colleagues is central to our journey as a global business.
Who You Are / Your Next Challenge The Data Engineer plays a critical role in enabling Finance
Remote Finance Data Engineer in Suffolk employer: Moneycorp
At Moneycorp, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our remote Finance Data Engineer role provides the flexibility to work from anywhere while being part of a global team dedicated to delivering exceptional service in the financial sector. With ample opportunities for professional growth and development, along with a commitment to employee well-being, Moneycorp is the ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Finance Data Engineer in Suffolk
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Moneycorp before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Moneycorp.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Moneycorp.
We think you need these skills to ace Remote Finance Data Engineer in Suffolk
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Moneycorp, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Moneycorp, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Moneycorp’s attention and show the tangible impact of your work.
How to prepare for a job interview at Moneycorp
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Moneycorp.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Moneycorp.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Moneycorp.
