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- 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 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data engineering sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨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 Microsoft Fabric or Python.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising how you’d explain your approach to building scalable data solutions and ensuring data security.
✨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 are proactive about their job search!
We think you need these skills to ace Finance Data Engineer – Contract for Modern Data & Analytics in London
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, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Finance Data Engineer position and how your skills in data pipelines and security can benefit us 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 and can bring additional skills to the table.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Moneycorp
✨Know Your SQL Inside Out
Since the role requires extensive SQL skills, make sure you brush up on your SQL knowledge. Be prepared to answer technical questions and possibly even solve problems on the spot. Practising common SQL queries and understanding how to optimise them will give you a solid edge.
✨Familiarise Yourself with Data Pipelines
Understanding data pipelines is crucial for this position. Review the concepts of ETL (Extract, Transform, Load) processes and be ready to discuss your experience in developing scalable data solutions. Having specific examples from your past work can really impress the interviewers.
✨Showcase Your Experience with Microsoft Fabric and Python
If you have experience with Microsoft Fabric and Python, make sure to highlight it during the interview. Even if it's not a requirement, demonstrating familiarity with these tools can set you apart. Prepare to discuss how you've used them in previous projects or how you would approach using them in this role.
✨Ask Insightful Questions
Interviews are a two-way street, so don’t forget to prepare some thoughtful questions about the company’s data infrastructure and future projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
