1d ago

Senior Data Engineer

Mx-Nle-Monterreysenior

Data EngineerData

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Quick Summary

Overview

Your Team Responsibilities The Senior Data Engineer will work in a fast-paced, collaborative environment,

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Data EngineerData

Responsibilities

~2 min read

The Senior Data Engineer will work in a fast-paced, collaborative environment, engaging with investment and technology professionals both within MSCI and across external organizations. The team is responsible for establishing and maintaining data feeds with custodian banks and data vendors, developing scalable data integration solutions, and supporting business growth through automation and process optimization.

Senior Data Engineers are expected to demonstrate strong analytical and problem-solving skills, attention to detail, and a proactive, entrepreneurial mindset. Successful candidates will be comfortable working independently and collaboratively, managing multiple priorities, and leveraging emerging technologies to continuously improve data workflows and operational efficiency.

- Establish and maintain data feeds with custodian banks, data vendors, and other third-party service providers to support reliable integration of investment data.- Support senior leadership, clients, and the broader Data Team by conducting analyses, investigating data-related issues, and delivering data-driven insights and solutions.- Develop and implement automation solutions to streamline, standardize, and centralize existing data integration processes, reducing manual effort and improving operational efficiency.- Evaluate and integrate new APIs, and design, develop, and maintain data pipelines to efficiently retrieve, transform, and process data from various sources.- Leverage internal proprietary tools to process, validate, transform, and migrate investment data into the Platform, ensuring data accuracy and integrity.- Identify opportunities to leverage emerging technologies, including AI-assisted development, to enhance data workflows, automation, and overall team productivity.- Collaborate with cross-functional teams across the firm to resolve technical challenges, improve data processes, and support business objectives.

Requirements

~1 min read

- 3–5 years of relevant experience in Data Engineering, Data Analytics, Financial Analytics, or a related field.- Strong proficiency in SQL and Python, with hands-on experience in data processing, analysis, and workflow automation.- Experience developing, maintaining, and optimizing data pipelines, data transformations, and automated workflows.- Solid understanding of data modeling, data quality, and database concepts, with the ability to work with large and complex datasets.- Strong analytical and problem-solving skills, with the ability to independently investigate issues and develop effective solutions.- Ability to manage multiple priorities, meet deadlines, and adapt to evolving business and technical requirements.- Familiarity with modern AI tools and experience leveraging AI-assisted development to improve efficiency, automation, and productivity.- Eagerness to learn new technologies, explore innovative solutions, and continuously improve existing processes.- Bachelor's degree in Computer Science, Engineering, Finance, or a related field.- Experience with Snowflake, Databricks, Apache Airflow, or Google Cloud Platform (GCP) is a plus.- Master's degree in a relevant discipline preferred.- Knowledge of financial markets is preferred. CFA charterholders or candidates pursuing the CFA designation are a plus.

What We Offer

~3 min read

✓Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.

✓Flexible working arrangements, advanced technology, and collaborative workspaces.

✓A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.

✓A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.

✓Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.

✓Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.

✓We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com