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- Tasks: Ensure data reliability and support critical data pipelines in a fast-paced environment.
- Company: Join a passionate team at a leading financial data services company.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in finance by ensuring smooth operations of vital data systems.
- Qualifications: Bachelor’s degree in Computer Science and 3+ years in data engineering or support roles.
- Other info: Dynamic global team with a commitment to ethical standards and excellence.
The predicted salary is between 36000 - 60000 £ per year.
We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s data services group is looking for a Data Reliability Engineer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.
This exceptional individual will join a global team who plays a mission critical role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.
Responsibilities:
- Level 1 support for thousands of mission critical data pipelines.
- Developing tools, documentation, and processes to assist with the smooth operation of data pipelines and other services.
- Incident management, including notifications and reporting.
- Support for complex entitlements systems operations across different platforms.
- Day-to-day operations including data validation, data cleaning, security audits and reporting.
Requirements:
- Bachelor’s degree with a concentration in Computer Science or related discipline.
- 3+ years of experience working in a client facing support, operations or data engineering role.
- Experience working in Windows and Linux environments both on-prem and in AWS.
- Experience with SQL Server and Python.
- Financial industry experience preferred but not required.
- Attention to detail and a love of process.
- Strong organization, communication, and interpersonal skills.
- Commitment to the highest ethical standards.
Data Reliability Engineer employer: Point72 Careers
Contact Detail:
Point72 Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Reliability Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and data engineering sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving SQL and Python. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data reliability scenarios. Think about how you'd handle incidents or improve data pipelines. We want to see your problem-solving skills in action!
✨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 are proactive about their job search.
We think you need these skills to ace Data Reliability Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Reliability Engineer role. Highlight your experience with data pipelines, SQL Server, and Python, as these are key for us. We want to see how your skills align with our mission of delivering error-free data.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background makes you a great fit for our team. We love seeing enthusiasm and a clear understanding of our work in finance.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled challenges in data operations or support. We’re looking for someone who can handle incident management and keep our data pipelines running smoothly.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our dedicated team!
How to prepare for a job interview at Point72 Careers
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines and the tools used in data reliability. Familiarise yourself with SQL Server and Python, as these are key components of the role. Being able to discuss your experience with these technologies will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled issues in previous roles, especially in client-facing support or operations. Think about specific incidents where you managed to resolve a problem efficiently. This will demonstrate your ability to handle the incident management aspect of the job.
✨Highlight Your Attention to Detail
Since this role requires a keen eye for detail, be ready to discuss how you ensure accuracy in your work. Share experiences where your attention to detail made a significant difference, whether in data validation, cleaning, or security audits. This will resonate well with the interviewers.
✨Communicate Effectively
Strong communication skills are essential for this position. Practice articulating your thoughts clearly and concisely. During the interview, make sure to listen actively and respond thoughtfully. This will not only showcase your interpersonal skills but also your commitment to collaboration within a team.
