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For Companies At a Glance
- Tasks: Join the Data Engineering team to tackle big data challenges and enhance data quality.
- Company: Be part of a leading global hedge fund with a prestigious tech-driven reputation.
- Benefits: Enjoy competitive salary, bonuses, personal development allowance, and a vibrant office culture.
- Why this job: Shape technology solutions in a flat, collaborative environment with exciting social events.
- Qualifications: Expertise in Python, large datasets, Linux, and a degree in a relevant field from a top university.
- Other info: Work with cutting-edge tools like Dataiku and Snowflake in a friendly tech team.
The predicted salary is between 43200 - 72000 £ per year.
One of the world's largest hedge funds, this is an excellent opportunity to join one of the most prestigious technology teams in systematic trading in a wide-ranging development role. With a flat-structured, 'no-attitude' working environment, this is a great time to join as engineering is undergoing significant investment.
Looking for an experienced engineer to join the Data Engineering team. You'll collaborate with the Data Science team, delivering unique solutions to solve their big data challenges. You'll also design & implement strategies and tools to monitor & validate data quality for thousands of datasets in use across the firm.
Their core systems almost all run on Linux and most code is in Python, including extensive use of numpy, scipy, pandas, scikit-learn, etc. Systems that require the highest data throughput are implemented in Java, and they use Dataiku, Snowflake, Prometheus, and ArcticDB heavily. New tools and libraries are constantly assessed, meaning you can shape the technology landscape and make an impact early on.
Requirements
- Expert programming experience (ideally in Python)
- Understanding of the challenges of dealing with large datasets (structured and unstructured)
- Solid Linux platforms experience with various scripting languages
- Knowledge of modern practices for ETL, data engineering and stream processing
- Degree with high mathematical and computing content - Computer Science, Mathematics, Engineering, Physics, etc. - from a top-tier university
- Working knowledge of at least one database technology, e.g. MongoDB, PostgreSQL, Snowflake, Oracle
Nice to have
- Proficient with a range of open-source frameworks and development tools e.g. NumPy /Pandas, Spark, Apache Kafka
- Previous experience of working with financial market data, especially tick data
- Experience with AWS
Benefits
- Competitive salary + generous bonuses
- Extra perks including a personal development allowance and sponsorship
- Central London office with a very smart, friendly tech team
- Flat-structured, transparent and collaborative environment, 'no-attitude' culture
- Regular social events, plus annual company trips and team offsites
Contact
To apply for this role, or for further information, please contact: Maia Ellis at maia.ellis@oxfordknight.co.uk or call 020 3745 6539.
Software Engineer - Data- Tech-Driven Global Hedge Fund employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer - Data- Tech-Driven Global Hedge Fund
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Linux, and data engineering tools like Dataiku and Snowflake. Being able to discuss your experience with these technologies during an interview will show that you're a strong fit for the role.
✨Tip Number 2
Network with current or former employees of the hedge fund, especially those in the tech team. They can provide valuable insights into the company culture and the specific challenges the team faces, which you can reference in your conversations.
✨Tip Number 3
Prepare to discuss your experience with large datasets and any relevant projects you've worked on. Be ready to explain how you approached data quality issues and the strategies you implemented to overcome them, as this is crucial for the role.
✨Tip Number 4
Showcase your problem-solving skills by preparing examples of how you've tackled complex data challenges in the past. This will demonstrate your ability to contribute to the Data Engineering team and align with their goal of delivering unique solutions.
We think you need these skills to ace Software Engineer - Data- Tech-Driven Global Hedge Fund
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming experience, especially in Python, and any relevant projects involving large datasets. Emphasise your familiarity with Linux and any database technologies you've worked with.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific tools and frameworks you have experience with, such as NumPy or Apache Kafka, and how they relate to the job description.
Showcase Relevant Experience: If you have previous experience working with financial market data or in data engineering roles, make sure to detail this in your application. Use concrete examples to demonstrate your problem-solving skills with big data challenges.
Highlight Your Educational Background: Since the role requires a degree with high mathematical and computing content, ensure you mention your qualifications clearly. If you graduated from a top-tier university, include this information prominently.
How to prepare for a job interview at Job Traffic
✨Showcase Your Python Skills
Since the role requires expert programming experience in Python, be prepared to discuss your previous projects and how you've used Python to solve complex problems. Highlight any libraries like NumPy or Pandas that you've worked with.
✨Demonstrate Your Data Handling Expertise
The company is looking for someone who understands the challenges of large datasets. Be ready to talk about your experience with both structured and unstructured data, and share specific examples of how you've managed data quality and ETL processes.
✨Familiarise Yourself with Their Tech Stack
Research the tools and technologies mentioned in the job description, such as Dataiku, Snowflake, and Prometheus. Showing familiarity with these tools can set you apart and demonstrate your proactive approach to the role.
✨Emphasise Collaboration and Teamwork
With a flat-structured and collaborative environment, it's important to convey your ability to work well in teams. Share experiences where you've successfully collaborated with data scientists or other engineers to deliver solutions.
