Our client is a leading international investment fund specializing in leveraging data and technology to refine financial strategies. Their core mission is to generate high-quality predictive signals (‘alphas’) to identify market inefficiencies and opportunities.

The company fosters a data-driven, fast-paced, and collaborative environment where engineers play a vital role in maintaining system stability and performance. This position combines technical problem-solving, operational support, and automation and requires a strong understanding of Linux, Python, and SQL.

The Data Operations Engineer will be responsible for improving the reliability and performance of the customer’s data pipeline. This role involves working closely with researchers, data strategists, operations, and engineering teams to ensure smooth data processing from various vendors and market sources.

Technical Skills:

• Proficiency in Python or C++ (Perl is a plus but not required).
• Strong SQL skills; experience with PromQL is a plus.
• Experience with Bash, Git, and Regex.
• Strong Linux/Unix skills, including debugging in a terminal, working with logs, and writing Bash scripts.

Soft Skills:

• Strong communication skills in English (oral and written).
• Ability to analyze complex problems, determine root causes, and implement solutions.
• A positive, team-oriented attitude with a strong work ethic.

Additional Considerations:

• Prior experience in financial services or data science is beneficial but not mandatory.
• Must be adaptable to fast-changing environments.

Responsibilities

• Monitor and support daily data pipeline operations, ensuring reliability and efficiency in a fast-paced environment.
• Troubleshoot real-time trading alerts while managing research-driven workflows.
• Investigate, escalate, and resolve data issues related to structure, quality, and availability.
• Enhance process efficiency by developing SDKs, runbooks, and automation scripts.
• Collaborate with internal teams and external vendors to address operational needs and improve workflows.

English

•  ‍B2 (Upper-Intermediate)

Time zone

• Ability to work evening shifts until 21:00 Mexico time (CST) and participate in on-call weekend support on a rotational basis.