Senior Data Engineer, Risk Technology

Ion

8+ Years | Mexico City, Mexico (Hybrid) | Full Time | 4 months ago

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Job Summary

Lab49 is looking for a Senior Data Engineer in Mexico City to join their team. The role involves expertise in data engineering technologies, market and credit counterparty risk platforms, and financial services. Responsibilities include analyzing, designing, coding, testing, and modifying software for platform delivery, building automated delivery pipelines using source control and CI practices, implementing monitoring and alerting, collaborating with architects, designing scalable data pipelines with Airflow, Snowflake, and AWS, and producing technical documentation. The ideal candidate will have 8+ years of experience with large datasets and high data quality, advanced Python proficiency, strong experience with AWS, Airflow, and Snowflake, and comfort in an agile CI/CD environment.

Must Have

8+ years of data-centric platform experience
Advanced Python proficiency
Strong experience with AWS, Airflow, Snowflake
Comfortable in agile/CI/CD environments
Ability to troubleshoot and debug issues
Excellent English communication (C1+)

Good to Have

Experience with market and credit counterparty risk platforms

Job Description

Lab49 is seeking a skilled and experienced Mexico City-based Senior Data Engineer to join our innovative team. The ideal candidate will possess expertise in data engineering technologies, experience with market and credit counterparty risk platforms , and a solid understanding of the financial services sector. If you thrive in a collaborative, agile environment and excel at building scalable, high-performance data platforms, we’d love to hear from you.

Responsibilities:

Analyze, design, code, test, configure, and modify software for the functional delivery of platforms and solutions using programming languages and development methodologies.
Design, develop, test, debug, and implement platforms, solutions, software tools, and utilities to ensure acceptable performance and service levels.
Build and manage automated delivery pipelines for platforms and solutions using source control, infrastructure as code, and continuous integration practices.
Implement monitoring, alerting, logging, and tracing to ensure the durability, availability, and performance of platforms and solutions.
Collaborate with the Data Warehouse Architect to ensure successful platform strategies.
Design and optimize scalable data pipelines using technologies like Airflow, Snowflake, and AWS cloud services.
Work closely with stakeholders to ensure platforms meet both business and technical requirements.
Produce technical documentation, including testing, training, and delivery artifacts.

Requirements:

8+ years of experience delivering data-centric platforms with large datasets, fast SLAs, and high data quality standards.
Advanced proficiency in Python.
Strong experience with AWS, Airflow, and Snowflake.
Comfortable working in an agile delivery environment.
Self-sufficient in a CI/CD environment, with hands-on experience automating deployments.
Proven ability to contribute as an individual, including reviewing pull requests and ensuring quality code.
Experience troubleshooting and debugging simple to complex issues.
Strong interpersonal and organizational skills, with the ability to work collaboratively.
Excellent command of spoken and written English (C1+)

Desired skills:

Proven experience with market and credit counterparty risk platforms

Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the individuals who comprise our organization and recognize the value that different backgrounds and points of view bring to our business.

Lab49/ION adheres to an equal employment opportunity policy that prohibits discriminatory practices or harassment against applicants or employees based on any legally impermissible factor.