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- Tasks: Tackle complex data engineering challenges and build robust data pipelines.
- Company: Join a leading hedge fund with a strong growth trajectory.
- Benefits: Competitive salary, generous bonuses, and top-notch office perks.
- Why this job: Be at the forefront of tech in finance and make a real impact.
- Qualifications: Strong academic background and some experience in data engineering.
- Other info: Flexible tech stack and excellent career progression opportunities.
Big tech is fragile and career outlook right now is very uncertain. What about working at a hedge fund where their growth is almost certain? This data engineering team hired multiple people last year – most from big-tech – and plan to do the same this year.
A large portion of your work will technically be non-finance, with the main finance focused work completed by other teams. The real-world, complex data engineering problems are all yours. You’ll be joining a team that builds and has built thousands of ingestion pipelines, with data coming from every single potential avenue it possibly can. To get the best understanding of an investment, all data points are considered. You’ll bring the data into the business, build the data infrastructure around it and deliver the data to the right person in the business to build their investment models.
Tech is also completely flexible. Most of the work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more.
You’ll need to come from a strong academic background with some commercial experience in a data heavy software or data engineering role. Financial experience of some kind would be a huge plus, but absolutely not a requirement. Experience with as much of the tech stack above is preferred and most likely, but you don’t need experience with all. Picking up new tech will be part of your job.
This is a $60 billion plus fund, where being at the cutting edge of technology in general, let alone finance, is key for them. With this amount of ambition, it’s why their bonuses can be some of the biggest in the industry. First year total compensation could be as high as £200,000 and this has the potential to get better year on year, based on your performance.
When in the office you have a fully catered canteen with a Michelin standard chef, barista coffee, a gym and more.
Want to explore (or to continue exploring) high-tech in the Hedge Fund world? No up-to-date CV required initially, we can work on updating it together if need be.
Data Engineer - £150k-£200k TC employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - £150k-£200k TC
✨Tip Number 1
Network like a pro! Reach out to people in the hedge fund space, especially those who are already working as data engineers. Use platforms like LinkedIn to connect and engage with them. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with Python, C#, or any of the tech stack mentioned. This will give you an edge and show that you're not just about theory but can deliver real-world solutions.
✨Tip Number 3
Be ready for technical interviews! Brush up on your data engineering concepts and be prepared to solve problems on the spot. Practising coding challenges can help you feel more confident when it comes to showcasing your skills.
✨Tip Number 4
Apply through our website! We make it easy for you to get your foot in the door. Plus, we’re here to help you every step of the way, from application to interview prep. Don’t miss out on this opportunity!
We think you need these skills to ace Data Engineer - £150k-£200k TC
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your technical skills and experience with the tech stack mentioned in the job description. We want to see how you can bring your data engineering expertise to our team!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Engineer role. We love seeing candidates who take the initiative to connect their experience with what we’re looking for.
Be Yourself: We’re all about authenticity here at StudySmarter. Don’t be afraid to let your personality shine through in your application. Share your passion for data engineering and why you’re excited about the opportunity to work with us!
Apply Through Our Website: Make sure to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly. We can’t wait to hear from you!
How to prepare for a job interview at Saragossa
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Python, C#, Scala, and tools like Snowflake, Docker, and Kubernetes. Brush up on your ETL and ELT processes too, as they’ll likely come up during technical discussions.
✨Showcase Problem-Solving Skills
Prepare to discuss real-world data engineering challenges you've faced. Think about how you approached complex problems and what solutions you implemented. This will demonstrate your ability to tackle the intricate data issues that the team deals with.
✨Understand the Business Context
Even though the role is tech-focused, having a grasp of how data impacts investment decisions can set you apart. Research the hedge fund industry and be ready to discuss how data engineering plays a crucial role in financial success.
✨Be Ready to Learn
Since picking up new tech is part of the job, express your enthusiasm for learning. Share examples of how you’ve quickly adapted to new tools or languages in the past, showing that you’re not just skilled but also eager to grow.
