Financial Data Engineer
- 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
- 4–6 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
- Writing and debugging 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
- Comfortable delivering production-quality software with AI coding assistants and working in Agile/DevOps teams with CI/CD and automated testing
- 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 — designing coherent end-to-end systems and explaining technical decisions clearly to both engineers and non-technical stakeholders
- JavaScript/TypeScript skills
- Familiarity with major data vendors (LSEG/Refinitiv, Bloomberg, S&P) and with financial, ESG/sustainability, or capital-markets data
- Familiarity with MCP or reusable Skills
- Hands-on experience building AI/ML-powered solutions — agent frameworks (LangGraph, CrewAI, or AutoGen), LLM APIs (Anthropic Claude, OpenAI), prompt engineering, RAG, and evaluation
- Deploying and monitoring agentic systems at scale
- Salary range: HUF 16,150,000 - HUF 17,765,000 / 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
- A global network of talented colleagues
- 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
- An environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups
- Voluntary Pension Fund contribution
- Life, Accident and Healthcare Insurance Package
- Short-term Disability/Sickness benefit
- Yearly medical screenings in private healthcare
- Paternity leave
- Glasses contribution
- Travel Reimbursement
- Széchenyi Recreation Card/SZÉP Card
- Tax Free Nursery / Kindergarten Benefit
- Voluntary healthcare fund contribution
- Voluntary pension fund contribution