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- Tasks: Design and maintain a global hedge fund's risk database and workflows.
- Company: Join a leading investment firm known for its expertise in global macro investing.
- Benefits: Enjoy flexible work options and the chance to influence trading decisions.
- Why this job: Be part of a dynamic team where your SQL skills can make a real impact.
- Qualifications: Experience with SQL Server, Python scripting, and data visualisation tools is essential.
- Other info: No up-to-date CV required to apply!
The predicted salary is between 36000 - 60000 £ per year.
Want control over a global hedge fund’s risk database and workflows? Interested in utilising your SQL experience to influence the performance of data systems and reports used for trading decisions? This is an opportunity to join an investment firm’s risk team, known for their expertise in discretionary global macro investing.
You will be responsible for designing, developing and maintaining the risk database and workflows, along with building data visualisation reports/dashboards to translate the data to support the risk team.
- Experience working with SQL Server databases is a must.
- Experience using Python for scripting purposes.
- Previously built, maintained and optimised ETL processes.
- Some knowledge of data visualisation tools.
If you’re passionate about data, SQL and can handle working in a risk-focused role, then this opportunity might be the one for you.
Database Performance Engineer employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Database Performance Engineer
✨Tip Number 1
Familiarise yourself with the specific SQL Server features that are relevant to performance optimisation. Understanding indexing, query execution plans, and database design principles can give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your Python skills, especially in relation to data manipulation and ETL processes. Being able to demonstrate your ability to automate tasks or improve workflows using Python will make you a more attractive candidate.
✨Tip Number 3
Prepare to discuss your experience with data visualisation tools. Be ready to share examples of how you've used these tools to create impactful reports or dashboards that support decision-making in previous roles.
✨Tip Number 4
Network with professionals in the finance and risk management sectors. Engaging with industry experts can provide insights into the role and may even lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Database Performance Engineer
Some tips for your application 🫡
Tailor Your CV: Even though an up-to-date CV isn't required, it's still a good idea to tailor your CV to highlight your SQL experience and any relevant projects you've worked on. Focus on your skills in database management, ETL processes, and data visualisation.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and your understanding of the risk-focused role. Mention specific experiences where you've influenced performance through your SQL skills and how you can contribute to the risk team.
Highlight Relevant Experience: In your application, emphasise your experience with SQL Server databases and Python scripting. Provide examples of how you've built and optimised ETL processes, as well as any data visualisation tools you've used.
Showcase Problem-Solving Skills: Since this role involves influencing trading decisions, include examples of how you've solved complex problems in previous roles. This will demonstrate your ability to handle the responsibilities of a Database Performance Engineer.
How to prepare for a job interview at Saragossa
✨Showcase Your SQL Skills
Be prepared to discuss your experience with SQL Server databases in detail. Highlight specific projects where you optimised queries or improved performance, as this will demonstrate your technical expertise and problem-solving abilities.
✨Demonstrate Your Python Proficiency
Since Python is essential for scripting in this role, be ready to share examples of how you've used Python in previous projects. Discuss any libraries or frameworks you are familiar with that could enhance data processing or visualisation.
✨Discuss ETL Processes
Prepare to talk about your experience with building, maintaining, and optimising ETL processes. Be specific about the tools you’ve used and the challenges you faced, as this will show your ability to handle complex data workflows.
✨Prepare for Data Visualisation Questions
Since the role involves creating data visualisation reports and dashboards, think about the tools you’ve used and be ready to discuss how you translate data into actionable insights. Bring examples if possible to illustrate your approach.
