At a Glance
- Tasks: Build scalable data pipelines and maintain data ingest processes using Python and APIs.
- Company: Join a scaling FinTech revolutionising private equity and alternative investments.
- Benefits: Earn up to £100k plus bonuses, with hybrid working options.
- Other info: Collaborative team culture with opportunities for professional growth.
- Why this job: Make a real impact in a dynamic environment while advancing your career.
- Qualifications: BSc in STEM, strong Python skills, and experience in data engineering.
The predicted salary is between 90000 - 100000 £ per year.
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 Russell 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
Join a dynamic and innovative FinTech company that values technical expertise and fosters a collaborative work culture. With a competitive salary of up to £100k, hybrid working options, and a strong focus on employee growth and development, this role offers the chance to make a significant impact in the world of private equity and alternative investments. Embrace the opportunity to work with cutting-edge technologies in a supportive environment that encourages continuous learning and professional advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Python - FinTech
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those who work with data engineering. Use platforms like LinkedIn to connect and engage with industry professionals; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data pipelines. This is your chance to demonstrate your expertise and make a lasting impression during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of APIs. Practice common data engineering problems and be ready to discuss how you've used LLMs to create business value in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
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 data engineering, especially in building scalable data pipelines. We want to see your Python skills shine, so don’t forget to mention any relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for the role. Share why you're excited about working in FinTech and how your background aligns with our needs. Keep it concise but impactful!
Showcase Your Technical Skills:Since we're looking for someone with strong Python and API experience, make sure to include specific examples of how you've used these skills in past roles. If you’ve dabbled in TypeScript or Azure, give us the lowdown on that too!
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Client Server
✨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 Data Pipeline Skills
Prepare examples of scalable data pipelines you've built or improved in previous roles. Be ready to explain the challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand the FinTech Landscape
Familiarise yourself with the current trends in FinTech, especially around private equities and alternative investments. Showing that you understand the industry will set you apart and highlight your genuine interest in the role.
✨Emphasise Collaboration
Since this role involves working closely with a team, be prepared to discuss your collaborative experiences. Share specific instances where you’ve worked with others to achieve a common goal, showcasing your communication skills and teamwork.
