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- Tasks: Design and implement scalable data systems and collaborate with product teams.
- Company: Fast-growing fintech startup in Greater London focused on transformative solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact in the fintech space while working with cutting-edge technology.
- Qualifications: Proficiency in Python, knowledge of distributed processing, and experience with Docker and Kubernetes.
- Other info: Join a dynamic team and contribute to innovative financial solutions.
The predicted salary is between 36000 - 60000 £ per year.
A fintech startup in Greater London is seeking a skilled individual to design and implement robust data systems. The role involves collaborating with product teams and data engineers to ensure effective solutions.
Candidates should have solid proficiency in Python, knowledge of distributed processing frameworks, and experience with Docker and Kubernetes.
This position is a fantastic opportunity to impact a fast-growing company focused on transformative financial solutions.
Data Platform Engineer: Build Scalable Pipelines & AI Tools employer: cleo
Contact Detail:
cleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer: Build Scalable Pipelines & AI Tools
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with data systems. 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 projects, especially those involving Python, Docker, and Kubernetes. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on distributed processing frameworks. We recommend practicing coding challenges and system design questions to impress during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Platform Engineer: Build Scalable Pipelines & AI Tools
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Docker, and Kubernetes. We want to see how your skills align with the role of a Data Platform Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us in the fintech space and how you can contribute to building scalable data systems. Keep it engaging and personal.
Showcase Collaboration Skills: Since this role involves working closely with product teams and data engineers, make sure to mention any past experiences where you’ve successfully collaborated on projects. We love teamwork, so let us know how you fit into that picture!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at cleo
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with distributed processing frameworks. They’ll likely ask you to solve a problem or explain a project where you used these technologies, so have some examples ready!
✨Showcase Your Collaboration Skills
Since the role involves working closely with product teams and data engineers, be prepared to talk about how you've successfully collaborated in the past. Share specific instances where your teamwork led to effective solutions, as this will demonstrate your ability to fit into their culture.
✨Get Familiar with Docker and Kubernetes
These tools are essential for the role, so make sure you can discuss your hands-on experience with them. If you’ve deployed applications using Docker or managed container orchestration with Kubernetes, be ready to share those experiences in detail.
✨Understand the Fintech Landscape
Research the company and the fintech industry as a whole. Being able to discuss current trends and challenges in financial technology will show your genuine interest in the field and help you stand out as a candidate who’s not just technically skilled but also passionate about the industry.
