Database Engineer

Database Engineer

Full-Time 60000 - 80000 € / year (est.) No home office possible
Caxton Associates

At a Glance

  • Tasks: Design and optimise core data platforms to support trading and investment decisions.
  • Company: Global trading and investment firm with a strong reputation in macro investing.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
  • Other info: Collaborate with diverse teams in a critical business environment.
  • Why this job: Join a fast-paced team and make a real impact on data-driven decision-making.
  • Qualifications: Strong technical skills in database design and Python ETL development.

The predicted salary is between 60000 - 80000 € per year.

About Caxton Associates: Caxton Associates, founded in 1983, is a global trading and investment firm with offices in New York, London, Bengaluru, Monaco, Singapore and Dubai. Caxton Associates’ primary business is to manage client and proprietary capital through a suite of products designed to fit the specific needs of investors. Employing a multi‑portfolio manager framework, Caxton excels in discretionary global macro investing, leveraging its diversified expertise across asset classes and markets.

About the role: We are seeking a Database Engineer to join our London‑based technology team. This is a hands‑on role focused on design, development, and optimisation of the firm’s core data platforms. You will play a key role in shaping and scaling the firm’s data platform, directly supporting trading and investment decision‑making. The role requires strong technical expertise, attention to data quality, and the ability to operate in a fast‑paced, business‑critical environment.

  • Collaborate with Technology, Quant, and Risk teams to deliver data solutions for reporting and analytics
  • Design and implement scalable database schemas, tables, indexes, and stored procedures
  • Develop and maintain Python ETL pipelines for trade, position, and pricing data
  • Build and support reporting and visualization solutions using Tableau
  • Ensure data integrity

Database Engineer employer: Caxton Associates

Caxton Associates is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. As a Database Engineer, you will benefit from a culture that prioritises professional growth, with opportunities to work alongside top-tier talent in technology and finance, while contributing to impactful projects that shape investment strategies. The firm’s commitment to excellence and employee development ensures that you will be well-supported in your career journey, making it a rewarding place to advance your skills and expertise.

Caxton Associates

Contact Detail:

Caxton Associates Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Database Engineer

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Caxton Associates. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got a portfolio or projects that highlight your database engineering prowess, make sure to share them during interviews. It’s all about proving you can walk the walk.

Tip Number 3

Prepare for technical questions! Brush up on your database design and Python ETL knowledge. We want you to feel confident when discussing how you’d tackle real-world challenges at Caxton.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team.

We think you need these skills to ace Database Engineer

Database Design
Data Optimisation
Python ETL Development
Data Quality Assurance
Collaboration Skills
Reporting Solutions
Data Visualisation with Tableau

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Database Engineer role. Highlight your experience with database design, development, and optimisation, as well as any relevant projects that showcase your skills in Python ETL pipelines and data integrity.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with Caxton Associates' needs. Don’t forget to mention your collaborative spirit, especially when working with tech, quant, and risk teams.

Showcase Your Technical Skills:Be sure to list your technical skills prominently. Mention specific databases you’ve worked with, your experience in designing scalable schemas, and any tools like Tableau that you’re proficient in. This will help us see your fit for the role at a glance.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Caxton Associates

Know Your Databases

Make sure you brush up on your database knowledge before the interview. Understand different database types, their strengths, and weaknesses, and be ready to discuss how you've used them in past projects. This will show that you're not just familiar with the technology but can also apply it effectively.

Showcase Your ETL Skills

Since the role involves developing Python ETL pipelines, be prepared to talk about your experience with ETL processes. Bring examples of how you've designed and implemented these pipelines, and be ready to discuss any challenges you faced and how you overcame them.

Collaboration is Key

This position requires working closely with various teams like Technology, Quant, and Risk. Think of examples where you've successfully collaborated with others to deliver data solutions. Highlight your communication skills and how you ensure everyone is on the same page.

Data Quality Matters

Emphasise your attention to data quality during the interview. Be ready to discuss methods you've used to ensure data integrity and accuracy in your previous roles. This will demonstrate that you understand the importance of reliable data in supporting trading and investment decisions.