Senior Data Engineer

MSCI Inc; Monterrey; On-site; MXN 800,000 - 1,200,000; Full time

Benefits offered by this job

Flexible working

Learning resources

Global peers and collaboration

Diversity & inclusion groups

Job summary

MSCI Inc. in Monterrey, Mexico, is seeking a Senior Data Engineer to design and maintain robust data feeds from custodians and vendors, and to build scalable data pipelines that accelerate investment insights.

You will partner with investment and technology teams to automate workflows, improve data quality, and apply AI-assisted development to boost productivity while handling multiple priorities in a fast-paced environment.

Qualifications

• 3–5 years of experience in Data Engineering, Data Analytics, or Financial Analytics.
• Strong proficiency in SQL and Python with data processing and workflow automation.
• Experience developing, maintaining, and optimizing data pipelines and transformations.
• Knowledge of data modeling, data quality, and working with large datasets.
• Analytical and problem-solving skills with ability to work independently.
• Able to manage multiple priorities and meet deadlines.
• Familiarity with AI tools and AI-assisted development.
• Willingness to learn new technologies and improve processes.
• Bachelor’s degree in related field; Master’s preferred.
• Experience with Snowflake, Databricks, Airflow, or GCP is a plus.
• Knowledge of financial markets; CFA a plus.

Responsibilities

• Establish and maintain data feeds with custodian banks, data vendors, and third parties.
• Conduct analyses and deliver data-driven insights for leadership and clients.
• Develop automation to streamline data integration processes.
• Design and maintain data pipelines for reliable data retrieval and processing.
• Process, validate, transform, and migrate data using internal tools.
• Explore AI-enabled approaches to enhance workflows and productivity.
• Collaborate with cross-functional teams to resolve technical challenges.

Skills

SQL

Python

Data processing

Workflow automation

Data modeling

Analytical thinking

Independent work

Education

Bachelor's degree in Computer Science / Engineering / Finance

Master's degree (preferred)

Tools

Snowflake

Databricks

Apache Airflow

Google Cloud Platform (GCP)

Job description

Your Team Responsibilities

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.

Your Key Responsibilities

• 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.

Your Skills And Experience That Will Help You Excel

• 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.

About MSCI

What we offer you

• 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.

At MSCI we are passionate about what we do, and we are inspired by our vision - to power better decisions. You'll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email [e-mail] and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.