Állás részletei
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Cég neve
MSCI Kft.
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Munkavégzés helye
Budapest -
Egyéb juttatások
- Egészségpénztár
- Nyugdíjpénztár
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Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- JAVA API DATABASES DEVOPS TESTING PYTHON SQL LINUX UNIX GIT DATABASE ORACLE AZURE CLOUD SECURITY JAVASCRIPT NETWORK ACCESS AGILE
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Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Főiskola
Állás elmentve
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Állás leírása
Responsibilities
- 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
Requirements
- 2-4 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
- 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
Nice-to-have
- 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 — and deploying and monitoring agentic systems at scale
What we offer
- Salary range: HUF 16,150,000 - HUF 17,765,000 per year plus eligible for annual bonus
- Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring 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 who inspire, support, and share their expertise
- Global Orientation program and access to Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities
- Multi-directional career paths offering 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
Company info
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.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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