Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform complex data into clear insights for trading strategies.
- Company: Join a leading global options market maker with a top-notch technical team.
- Benefits: Enjoy a competitive salary, bonuses, and the chance to work remotely.
- Why this job: Make a real impact in a fast-paced trading environment while collaborating with experts.
- Qualifications: Strong SQL skills and a passion for data visualisation are essential.
- Other info: No up-to-date CV required to apply!
The predicted salary is between 42000 - 84000 £ per year.
Interested in entering the world of quantitative trading and learn all about automated trading systems? This is an opportunity to become a Data Visualisation Engineer as part of a highly technical data team that’s filled with bright and technically strong engineers, in a leading global options market maker.
You can be responsible for building and maintaining core platforms and have the unique chance to work closely with traders, analysts, data engineers, and other stakeholders to turn complex datasets into clear, actionable insights that support data-driven strategies and decision-making across the business.
Leverage your SQL skillset for querying, data modelling and building databases as well as PowerBI for data visualisation projects. If you are passionate about data, excited by problem-solving, and looking to make a tangible impact in a high-performance trading environment, we invite you to apply and become part of this firm's journey.
No up-to-date CV required.
Data Visualisation Engineer - £60k base + bonus employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Visualisation Engineer - £60k base + bonus
✨Tip Number 1
Familiarise yourself with the latest trends in data visualisation and quantitative trading. Understanding the tools and technologies that are currently in demand, such as PowerBI and SQL, will help you stand out during discussions with our team.
✨Tip Number 2
Network with professionals in the trading and data visualisation fields. Attend industry meetups or webinars to connect with potential colleagues and gain insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data visualisation to solve problems or improve processes. Being able to articulate your thought process and the impact of your work can make a significant impression.
✨Tip Number 4
Stay updated on the latest developments in automated trading systems. Showing your enthusiasm for the field and your willingness to learn can demonstrate your commitment to contributing to our team's success.
We think you need these skills to ace Data Visualisation Engineer - £60k base + bonus
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Visualisation Engineer. Familiarise yourself with SQL and PowerBI, as these are key skills for the position.
Tailor Your CV: Even though an up-to-date CV is not required, it's still a good idea to tailor your CV to highlight relevant experience in data visualisation, SQL querying, and any previous work in trading environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and problem-solving. Mention specific projects or experiences where you've successfully turned complex datasets into actionable insights.
Highlight Collaboration Skills: Since the role involves working closely with traders, analysts, and other stakeholders, emphasise your teamwork and communication skills in your application to demonstrate your ability to collaborate effectively.
How to prepare for a job interview at Saragossa
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL in detail. Highlight specific projects where you've used SQL for querying and data modelling, as this is crucial for the role.
✨Demonstrate Data Visualisation Expertise
Familiarise yourself with PowerBI and be ready to talk about your previous data visualisation projects. Bring examples of how you've turned complex datasets into actionable insights.
✨Understand the Trading Environment
Research the basics of quantitative trading and automated trading systems. Showing an understanding of the trading environment will demonstrate your enthusiasm and readiness for the role.
✨Prepare for Technical Questions
Expect technical questions related to data engineering and visualisation. Brush up on relevant concepts and be ready to solve problems on the spot to showcase your analytical skills.
