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- Tasks: Build scalable data systems for high-performance trading using modern tools.
- Company: Leading hedge fund in the UK with an innovative data engineering team.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact in the finance sector.
- Qualifications: Strong engineering skills and a passion for data-driven decision-making.
- Other info: Experience in financial data is a bonus; curiosity is key!
The predicted salary is between 54000 - 84000 £ per year.
A leading hedge fund partner in the United Kingdom is seeking a Data Engineer to join their innovative data engineering team. This mid-level to senior role involves building scalable systems that support high-performance trading, focusing on complex data infrastructure and utilizing modern tools such as Python, SQL, Airflow, Spark, and Snowflake.
Experience in financial data is a bonus, but strong engineering skills and a curiosity for data-driven decision-making are essential.
Apply now to make a significant impact.
Senior Data Engineer - Trading Data Pipelines & Platforms employer: OCR Alpha
Contact Detail:
OCR Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Trading Data Pipelines & Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at hedge funds or in data engineering roles. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or any of the tools mentioned in the job description. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your data engineering concepts. Practice coding challenges and be ready to discuss your past experiences with trading data pipelines. Confidence in your skills will shine through!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to connect with opportunities that match your skills. Plus, it shows you're serious about joining our innovative team!
We think you need these skills to ace Senior Data Engineer - Trading Data Pipelines & Platforms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant tools like Airflow or Spark. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a great fit for our team. Let us know what excites you about working in high-performance trading.
Showcase Your Curiosity: We love candidates who are curious about data-driven decision-making. In your application, share examples of how you've used data to solve problems or improve processes. This will help us see your analytical mindset!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at OCR Alpha
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Python, SQL, Airflow, Spark, and Snowflake. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data engineering and how you overcame them. Use examples that highlight your ability to build scalable systems and support high-performance trading.
✨Understand Financial Data
While experience in financial data is a bonus, having a basic understanding of how financial markets operate can set you apart. Familiarise yourself with common financial terms and concepts to demonstrate your interest and readiness for the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data infrastructure and future projects. This shows your curiosity and eagerness to contribute to their innovative team, making a lasting impression on your interviewers.
