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- Tasks: Build scalable data solutions and maintain core data infrastructure for finance.
- Company: Leading financial services firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, hybrid working model, and great benefits.
- Why this job: Join a dynamic team and engineer robust data pipelines that make a difference.
- Qualifications: Extensive SQL expertise, relevant degree, and strong analytical skills.
- 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 firm in Greater London is seeking a Data Engineer to build scalable data solutions and maintain core data infrastructure. The role involves engineering robust data pipelines, ensuring reliable data for Finance, and working with Microsoft Fabric and Power BI.
Candidates should have:
- Extensive SQL expertise
- A Bachelor's degree in a relevant field
- Strong analytical skills
This full-time fixed term contract offers a competitive salary and benefits, with a hybrid working model.
Finance Data Engineer (Contract) — Modern Data Pipelines in London employer: Moneycorp Bank Limited
Contact Detail:
Moneycorp Bank Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Engineer (Contract) — Modern Data Pipelines in London
✨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! If you’ve built any cool data pipelines or worked with Microsoft Fabric, make sure to have examples ready to discuss. Real-world experience speaks volumes!
✨Tip Number 3
Prepare for the technical interview! Brush up on your SQL and analytical skills. We all know those tricky questions can catch you off guard, so practice makes perfect.
✨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) — Modern Data Pipelines in London
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your extensive SQL expertise in your application. We want to see how you've used SQL in past projects, so don’t hold back on the details!
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the Finance Data Engineer role. We love seeing candidates who take the time to match their background with what we’re looking for.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you convey your passion for data engineering without any fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Moneycorp Bank Limited
✨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 in past projects. Practising some real-world scenarios can help you articulate your experience effectively.
✨Familiarise Yourself with Microsoft Fabric and Power BI
Since the role involves working with Microsoft Fabric and Power BI, it’s crucial to understand their functionalities. Try to explore recent updates or features that could be relevant to the job. This will show your enthusiasm and readiness to hit the ground running.
✨Demonstrate Your Analytical Skills
Prepare to showcase your analytical thinking during the interview. Think of examples where you've solved complex data problems or optimised processes. Being able to explain your thought process clearly will impress the interviewers.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with questions about the company’s data infrastructure and future projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.