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MSCI

Offers data, indexes, analytics for investments

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBudapest, HungaryHUF16.1M - HUF18MIn-person

About the Job

Requirements

  • One to three years of experience as a Data Engineer, Data Analyst, or Financial Analyst.
  • Proficiency and experience with SQL and Python.
  • Ability to handle multiple tasks, meet reporting deadlines, and demonstrate flexibility with assignment delivery.
  • Bachelor's degree in Computer Science, Engineering, or Finance is preferred.
  • Familiarity with modern AI tools and experience with AI-driven development.
  • Knowledge of Snowflake, Databricks, Apache Airflow, or Google Cloud Platform is a plus.

Responsibilities

  • Establish data feeds with custodian banks, data vendors, and other service providers.
  • Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions.
  • Fully automate and centralize existing data integration processes.
  • Evaluate new APIs and build data pipelines to fetch and integrate data.
  • Use internal proprietary tools to manipulate and migrate investment data into the Platform.
  • Interact regularly with other areas of the firm to collaborate on task execution.

Desired Qualifications

  • Knowledge of Snowflake, Databricks, Apache Airflow, or Google Cloud Platform is a plus.

About the Company

MSCI

Offers data, indexes, analytics for investments

MSCI provides data, indexes, analytics, and technology solutions for institutional investors, asset managers, and wealth managers across public and private markets. Its index products measure global markets, private asset data offers benchmarks and analytics for illiquid investments, and ESG data, models, and ratings help assess sustainability risk. Risk management and portfolio tools integrate analytics to support asset allocation and personalized portfolios, while research and partnerships broaden access to private market intelligence. The goal is to help clients make informed decisions, manage risk, and grow assets by delivering reliable data and practical tools in a single ecosystem.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1969

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