At a Glance
- Tasks: Build scalable data pipelines and maintain data ingest processes in a dynamic FinTech environment.
- Company: Join a scaling FinTech firm focused on private equities and alternative investments.
- Benefits: Competitive salary up to £100k, bonus, and hybrid working options.
- Other info: Collaborative team culture with a focus on emerging technologies.
- Why this job: Make a real impact in a cutting-edge role with excellent career progression opportunities.
- Qualifications: BSc in STEM, strong Python skills, and experience with data engineering.
The predicted salary is between 90000 - 110000 £ per year.
London, Greater London | £90k - £110k per year
Data Engineer (Python LLM API) London / WFH to £100k
Are you a highly technical Data Engineer with FinTech / finance experience looking for an opportunity to progress your career? You could be joining a scaling FinTech, the core product is a private equities / alternative investment management platform.
As a Data Engineer you will focus on building scalable data pipelines; improving, creating and maintaining data ingest pipelines for receiving data from Fund admins. You'll be working primarily with Python, Typescript and APIs within an Azure cloud environment. You'll collaborate with the wider engineering team, acting as a champion for good data and good data architecture and stay up to date with emerging technologies and best practices.
Location / WFH: You’ll join colleagues in the London office three days a week with flexibility to work from home the other two days.
About you:
- You have a BSc degree in a STEM discipline, from a Russel Group university
- You have strong commercial data engineering experience, building scalable data pipelines
- You have strong Python coding ability, ideally you will also have experience with TypeScript (or be happy to learn it)
- You have a good understanding of APIs
- You've used LLMs to create business value
- You have experience within cloud environments, Azure preferred
- You're collaborative with advanced communication skills
What's in it for you:
- Salary to £100k + bonus
- Impactful role with excellent career progression
- Hybrid working (x3 days in London)
Apply now to find out more about this Data Engineer (Python LLM API) opportunity.
Data Engineer Python - FinTech employer: Client Server Ltd.
Join a dynamic and innovative FinTech company in London, where you will have the opportunity to work on cutting-edge data engineering projects that drive impactful change in the finance sector. With a strong emphasis on career progression, a collaborative work culture, and the flexibility of hybrid working arrangements, this role offers not just a competitive salary but also a chance to be part of a forward-thinking team that values your contributions and supports your professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Python - FinTech
✨Network Like a Pro
Get out there and connect with people in the FinTech space! Attend meetups, webinars, or even just grab a coffee with someone in the industry. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data pipelines or any projects you've worked on using Python and APIs. We love seeing practical examples of your work, so make sure to highlight them when you get the chance.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python skills and understanding of data architecture. We recommend practicing common interview questions and even doing mock interviews with friends. Confidence is key, so show them you’re the right fit for their team!
✨Apply Through Our Website
When you find a job that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates like you to join our growing team in the FinTech world.
We think you need these skills to ace Data Engineer Python - FinTech
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, data pipelines, and any FinTech projects you've worked on. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm for the role and the company, so let your personality come through.
Showcase Your Technical Skills:Since this role involves working with APIs and cloud environments, make sure to mention any specific projects or experiences that demonstrate your expertise in these areas. We’re keen to see how you’ve used technology to create business value!
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 shows you’re serious about joining our team!
How to prepare for a job interview at Client Server Ltd.
✨Know Your Tech Stack
Make sure you’re well-versed in Python, TypeScript, and APIs. Brush up on your knowledge of Azure cloud environments too. Being able to discuss your experience with these technologies confidently will show that you're the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've built scalable data pipelines or improved existing ones. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your technical prowess and your ability to add value to their team.
✨Understand the FinTech Landscape
Familiarise yourself with current trends in the FinTech industry, especially around private equities and alternative investments. Showing that you understand the market can set you apart from other candidates and highlight your genuine interest in the role.
✨Be Ready to Collaborate
Since the role involves working closely with a wider engineering team, be prepared to discuss your collaborative experiences. Share instances where you’ve successfully worked in a team setting, as this will showcase your communication skills and ability to work well with others.
