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- Tasks: Enhance data ingestion and quality using algorithmic methods in a dynamic environment.
- Company: Leading algorithmic trading firm based in London with a focus on innovation.
- Benefits: Extensive medical benefits, gym access, and generous holiday allowances.
- Why this job: Join a cutting-edge team and make a real impact in financial data pipelines.
- Qualifications: Strong programming skills in statically typed languages and experience with distributed systems.
- Other info: Hybrid work model with four days on-site for collaborative teamwork.
The predicted salary is between 36000 - 60000 £ per year.
A leading algorithmic trading firm in London is searching for a Data Platform team member. The role emphasizes autonomous work, improving data ingestion and quality through algorithmic methods.
Candidates should have strong programming skills, preferably in statically typed languages, and experience in building distributed systems.
This position offers extensive medical benefits, gym access, and generous holiday allowances, working primarily on-site four days a week.
Data Platform Engineer – Financial Data Pipelines (Hybrid) in London employer: XTX Markets
Contact Detail:
XTX Markets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer – Financial Data Pipelines (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at algorithmic trading firms. A friendly chat can lead to insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your programming projects, make sure to highlight that. It’s a great way to demonstrate your expertise in statically typed languages and distributed systems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. Practice coding challenges online to get comfortable with problem-solving under pressure. We all know how crucial that is in this field!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Platform Engineer – Financial Data Pipelines (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills, especially in statically typed languages. We want to see how you can contribute to improving our data ingestion and quality!
Be Specific About Your Experience: When detailing your experience with distributed systems, be as specific as possible. Share examples of projects you've worked on that demonstrate your ability to work autonomously and tackle complex challenges.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at XTX Markets
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in statically typed languages. Be ready to discuss your experience with building distributed systems and how you've tackled data ingestion challenges in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've improved data quality or streamlined processes using algorithmic methods. Think about real-world scenarios where your solutions made a significant impact.
✨Understand the Company Culture
Research the firm’s values and work environment. Since this role involves autonomous work, be prepared to discuss how you manage your time and projects independently while still contributing to team goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and their approach to data challenges. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
