MSCI is a leading provider of decision-support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions through our indexes, analytics, and ESG and climate products. Our Data Operations & Technology function collects, validates, quality-assures, and delivers the data that underpins every MSCI product — spanning ESG, climate, sustainability, corporate governance, geospatial, and private-assets data across thousands of companies and assets worldwide.
MSCI is transforming its data operations through an agentic AI operating model — replacing manual, human-driven workflows with intelligent, autonomous agents that collect, validate, and quality-assure data at scale. As a Data Engineer, you build the automation that makes this possible: you design, engineer, and deploy the AI agents, orchestration, and data pipelines that operations teams run every day, taking each solution from concept through to a reliable, production-grade system. You architect, engineer, integrate, and deploy large-scale market-data solutions across MSCI’s multi-asset-class products — Analytics, Sustainability, Climate, Index, and Private Assets — collaborating with product, data-content, and infrastructure teams in a fast-paced Agile environment.
Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale.
Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows.
Take each solution from design through to production — writing clean, reliable, well-tested code and engineering for scale, resilience, and maintainability.
Architect and develop secure, high-performance, scalable, and maintainable applications, applying modern architectural patterns and best practices for design, coding, and automated test coverage.
Automate the operation and management of MSCI’s market-data and terms-and-conditions databases, engineering for availability, low latency, scalability, and fault tolerance.
Work in a DevOps model — building CI/CD pipelines, automated testing frameworks, and production monitoring, telemetry, and feedback loops.
Build and maintain the platforms, frameworks, and tools that operations teams depend on, and make them easy to run and troubleshoot.
Monitor deployed solutions in production, diagnose and resolve issues, and deliver enhancements as data sources, methodologies, and processes evolve.
Establish reusable components, patterns, and engineering standards that make every subsequent automation faster to build.
6–8 years of experience in roles that combine technology implementation with business/operational problem-solving — solutions engineering, forward deployed engineering, technical consulting, implementation engineering, or similar hybrid roles.
Bachelor’s degree in Computer Science, Data Science, Financial or Quantitative Engineering, or a related field — or equivalent practical experience.
Strong Python engineering skills, with SQL and PL/SQL for data work and day-to-day Linux/Unix and Git; JavaScript/TypeScript a plus. You write and debug clean, production-quality code.
Data pipeline, orchestration, and database expertise — workflow engines (Airflow, Prefect), ETL/ELT, SQL and relational databases (Oracle, SQL Server, Azure SQL, Postgres), and big-data/cloud storage (ADLS, Snowflake).
Experience building market-data systems in a multi-asset-class environment — reference data, corporate actions, benchmark/index, and pricing; familiarity with major data vendors (LSEG/Refinitiv, Bloomberg, S&P) and with financial, ESG/sustainability, or capital-markets data is an advantage.
Comfortable delivering production-quality software with AI coding assistants (Claude Code, Cursor, GitHub Copilot, or Codex) and working in Agile/DevOps teams with CI/CD and automated testing; familiarity with MCP or reusable Skills is a plus.
Hands-on experience building AI/ML-powered solutions — agent frameworks (LangGraph, CrewAI, or AutoGen), LLM APIs (Anthropic Claude, OpenAI), prompt engineering, RAG, and evaluation — and deploying and monitoring agentic systems at scale, are strong advantages.
Demonstrated success shipping products quickly inside a tightly governed enterprise — meeting rigorous security, compliance, and change-control standards without sacrificing delivery speed.
Systems thinking and strong communication — you design coherent end-to-end systems and explain technical decisions clearly to both engineers and non-technical stakeholders.
What we offer you
- Salary range: HUF 18,000,000-21,000,000 / year plus eligible for annual bonus
- 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 strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.
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 [email protected] 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.
To all recruitment agencies
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.
Note on recruitment scams
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
