Java Developer, CDP API

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MSCI Kft.
Munkavégzés helye

Budapest

Egyéb juttatások
- Egészségpénztár
- Nyugdíjpénztár
Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- JAVA LINUX TESTING DATABASES GIT SQL ORACLE DATABASE ACCESS SECURITY DEVOPS CLOUD API PYTHON UNIX AZURE JAVASCRIPT NETWORK AGILE
Biztosított eszközök
- Laptop
Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Főiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

A hirdetés adatait sikeresen elküldte az email címére.

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 or 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 or Unix and Git
Experience with JavaScript or TypeScript as a plus
Data pipeline, orchestration, and database expertise — workflow engines (Airflow, Prefect), ETL or ELT, SQL and relational databases (Oracle, SQL Server, Azure SQL, Postgres), and big-data or cloud storage (ADLS, Snowflake)
Experience building market-data systems in a multi-asset-class environment — reference data, corporate actions, benchmark or index, and pricing
Familiarity with major data vendors (LSEG or Refinitiv, Bloomberg, S&P) and with financial, ESG or sustainability, or capital-markets data as an advantage
Comfortable delivering production-quality software with AI coding assistants (Claude Code, Cursor, GitHub Copilot, or Codex) and working in Agile or DevOps teams with CI/CD and automated testing
Hands-on experience building AI or 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 as 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 — 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
Experience deploying and monitoring agentic systems at scale

What we offer

Salary range: HUF 16,150,000 - HUF 17,765,000 per year
Eligibility for annual bonus
Transparent compensation schemes and comprehensive employee benefits tailored to location
Flexible working arrangements
Advanced technology and collaborative workspaces
Culture of high performance and innovation
Global network of talented colleagues
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
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 or sickness benefit
Yearly medical screenings in private healthcare
Paternity leave
Glasses contribution
Travel reimbursement
Széchenyi Recreation Card or SZÉP Card
Tax free nursery or kindergarten benefit
Voluntary healthcare 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. 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.