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- Tasks: Design and maintain data pipelines for cutting-edge trading systems.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a fast-paced team passionate about innovative engineering.
- Why this job: Make a real impact on trading strategies using AI and machine learning.
- Qualifications: 5-10 years of data engineering experience and strong Python skills.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in the UK is seeking a Data Engineer to design, build, and maintain data pipelines for trading systems. The role focuses on developing machine learning and AI-driven platforms, where you will directly impact trading strategies.
Candidates should have:
- 5-10 years of experience in data engineering
- Strong skills in Python
- Familiarity with AWS services like Kinesis and Glue
Ideal for those passionate about innovative engineering and collaboration within a fast-paced team.
AI Data Engineer for Front-Office Trading Platform employer: Caspian One
Contact Detail:
Caspian One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Engineer for Front-Office Trading Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in trading platforms or data engineering. 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 and AWS. This is your chance to demonstrate how you can design and maintain data pipelines effectively.
✨Tip Number 3
Prepare for technical interviews by brushing up on machine learning concepts and data engineering principles. We recommend practicing coding challenges and discussing your thought process clearly during interviews.
✨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 genuinely interested in joining our innovative team.
We think you need these skills to ace AI Data Engineer for Front-Office Trading Platform
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and AWS services like Kinesis and Glue. We want to see how your skills align with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience in data engineering and how it relates to building data pipelines for trading systems. We love seeing candidates who take the time to connect their background to what we do!
Be Passionate: Let your enthusiasm for innovative engineering shine through in your application. We’re looking for team players who are excited about developing AI-driven platforms, so share your passion for technology and collaboration!
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 makes the process smoother for everyone involved!
How to prepare for a job interview at Caspian One
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with AWS services like Kinesis and Glue. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of the tools.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you tackled them. Use examples that highlight your ability to design and maintain data pipelines, especially in a trading context, as this will resonate well with the interviewers.
✨Emphasise Collaboration
Since the role involves working within a fast-paced team, be ready to discuss your experiences collaborating with others. Share examples of how you've worked with cross-functional teams to develop machine learning and AI-driven platforms, showcasing your teamwork skills.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest trends in AI and machine learning, particularly in trading systems. Being able to discuss current innovations or challenges in the field will demonstrate your passion for innovative engineering and your commitment to staying ahead in the industry.