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- Tasks: Set up and manage Azure SQL instances, automate data processes, and ensure data quality.
- Company: Join a prestigious hedge fund known for its innovative technology and data infrastructure.
- Benefits: Highly competitive salary, flexible working, and excellent career progression opportunities.
- Why this job: Be part of a pivotal growth moment in a world-class investment manager's journey.
- Qualifications: 5+ years of SQL Server experience and strong cloud expertise required.
- Other info: Collaborative environment with exposure to high-impact projects.
The predicted salary is between 36000 - 60000 £ per year.
Data Engineer – Highly Prestigious Hedge Fund – London
My client, a leading multi-strategy hedge fund, is seeking to hire a Data Engineer with strong SQL Server and cloud expertise to join their expanding London team.
This is a newly created role, driven by the continued build-out of the firm’s technology and data infrastructure, and the centralisation of data management functions across the business.
The successful hire will play a key role in setting up and managing Azure SQL instances and data warehouses, automating data import and refresh processes, and ensuring data quality and availability. Alongside day-to-day reporting and data requests, they will also help establish data governance frameworks and act as the central point of contact for data-related projects across the fund.
The ideal candidate will bring 5+ years of SQL Server experience, at least 1 year of cloud expertise, and strong proficiency in SQL programming, database optimisation, and performance tuning. Experience with financial data (e.g. trade, reference, and position data), as well as tools such as Tableau, will be highly advantageous.
This is a rare opportunity to join a world-class investment manager at a pivotal moment of growth. Compensation is highly competitive, with excellent progression prospects and exposure to high-impact projects within a collaborative and entrepreneurial environment. Flexible working is also offered.
Responsibilities and Requirements
- Set up and manage Azure SQL instances and data warehouses
- Automate data import and refresh processes
- Ensure data quality and availability
- Establish data governance frameworks
- Act as the central point of contact for data-related projects
Requirements
- 5+ years of SQL Server experience
- At least 1 year of cloud expertise
- Strong proficiency in SQL programming, database optimisation, and performance tuning
- Experience with financial data and tools such as Tableau (advantageous)
Apply now via the link below or send your resume directly to harvey.gilbert@mondrian-alpha.com.
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Data Engineer - Highly Prestigious Hedge Fund - London employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Highly Prestigious Hedge Fund - London
✨Tip Number 1
Network like a pro! Reach out to connections in the finance and tech sectors, especially those who work at hedge funds. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects, cloud implementations, and any data governance frameworks you've worked on. This will give you an edge during interviews and help us see your practical experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on SQL programming and database optimisation techniques. Practise common interview questions and scenarios related to data management to boost your confidence.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer - Highly Prestigious Hedge Fund - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL Server and cloud expertise. We want to see how your experience aligns with the role, so don’t be shy about showcasing your skills in database optimisation and performance tuning!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this Data Engineer position and how your background in financial data can add value to our team. Keep it concise but impactful!
Showcase Relevant Projects: If you've worked on any projects involving Azure SQL instances or data governance frameworks, make sure to mention them. We love seeing real-world applications of your skills, especially if they relate to the hedge fund environment!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Mondrian Alpha
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL Server, including any specific projects where you've optimised databases or tuned performance. Practising common SQL queries and understanding how to manipulate data will give you a solid edge.
✨Familiarise Yourself with Azure
Since this role involves managing Azure SQL instances, it’s crucial to have a good grasp of Azure services. Spend some time exploring Azure documentation and maybe even set up a test environment. Being able to talk about your hands-on experience with Azure will show that you're proactive and ready for the challenges ahead.
✨Highlight Your Financial Data Experience
If you have experience working with financial data, make sure to highlight it during the interview. Discuss specific types of financial data you've worked with, such as trade or position data, and how you ensured its quality and availability. This will demonstrate your relevance to the hedge fund's needs.
✨Prepare Questions About Data Governance
Since establishing data governance frameworks is part of the role, come prepared with insightful questions about their current processes. This shows your interest in the position and helps you understand how you can contribute to their data-related projects effectively.
