At a Glance
- Tasks: Develop data pipelines and build financial models to deliver insights.
- Company: Leading fintech company at the forefront of finance and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a passionate team and make a real impact in fintech.
- Why this job: Shape the future of data-driven decision-making in a dynamic environment.
- Qualifications: 5-8 years experience with strong SQL and Python skills required.
The predicted salary is between 48000 - 72000 € per year.
A leading fintech company is looking for a passionate Data Analyst to bridge finance and technology, delivering data-driven insights. In this hybrid role, you will develop data pipelines, build financial models, and partner with teams to ensure accurate reporting.
Candidates should have:
- 5-8 years of experience
- Strong SQL and Python skills
- Familiarity with ETL/ELT tools
- A degree in a relevant technical field
Join us to shape the future of data-driven decision-making.
Fintech Data Engineer - Hybrid, Python/SQL/dbt for Finance in London employer: Movement8
As a leading fintech company, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our hybrid work model offers flexibility while providing ample opportunities for professional growth through continuous learning and mentorship. Join us to be part of a forward-thinking team that values your contributions and is dedicated to shaping the future of finance through data-driven insights.
StudySmarter Expert Advice🤫
We think this is how you could land Fintech Data Engineer - Hybrid, Python/SQL/dbt for Finance in London
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those who work with data. 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 financial models. This is your chance to demonstrate your SQL and Python prowess in a way that stands out.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you’d tackle real-world problems using ETL/ELT tools and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to shape the future of data-driven decision-making. Your next big opportunity could be just a click away!
We think you need these skills to ace Fintech Data Engineer - Hybrid, Python/SQL/dbt for Finance in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL and Python, as well as any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re passionate about fintech and data engineering. Share specific examples of how you've used data to drive insights in previous roles, and let your enthusiasm shine through!
Showcase Your Technical Skills:Since this role involves developing data pipelines and financial models, make sure to mention any ETL/ELT tools you’ve worked with. We love seeing candidates who can demonstrate their technical prowess in practical scenarios.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Movement8
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, especially in building data pipelines or financial models. This will show your technical prowess and how it applies to the role.
✨Understand the Fintech Landscape
Familiarise yourself with current trends in fintech and how data analytics plays a role in decision-making. Being able to discuss recent developments or challenges in the industry will demonstrate your passion and knowledge, making you stand out as a candidate.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using your data skills. Practice explaining your thought process clearly and logically, especially when it comes to ETL/ELT processes. This will help the interviewers see how you approach challenges in a practical setting.
✨Showcase Your Collaboration Skills
Since this role involves partnering with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you ensure accurate reporting through teamwork, as this is crucial in a hybrid role like this one.
