Senior Java Developer, CDP API
$18,000,000–$21,000,000 year
On-siteBudapest, Budapest, Hungary
Job Summary
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, and API connections to power autonomous workflows, taking each solution from design through to a reliable, production-grade system. Architect secure, high-performance applications using modern patterns, automate database operations for low latency and fault tolerance, and establish reusable engineering standards. Monitor deployed systems in production, diagnose issues, and integrate CI/CD pipelines with automated testing and telemetry. Work in a fast-paced Agile environment to deliver market-data solutions across Analytics, Sustainability, Climate, and Private Assets products while collaborating with product and infrastructure teams.
Required Qualifications
- 6–8 years of experience in roles that combine technology implementation with business/operational problem-solving
- Bachelor's degree in Computer Science, Data Science, Financial or Quantitative Engineering, or a related field
- Strong Python engineering skills
- SQL and PL/SQL for data work
- Linux/Unix
- Git
- Data pipeline expertise
- Orchestration expertise
- Database expertise
- Workflow engines (Airflow, Prefect)
- ETL/ELT
- SQL and relational databases (Oracle, SQL Server, Azure SQL, Postgres)
- Big-data/cloud storage (ADLS, Snowflake)
- Experience building market-data systems in a multi-asset-class environment
- Familiarity with major data vendors (LSEG/Refinitiv, Bloomberg, S&P)
- Experience delivering production-quality software with AI coding assistants (Claude Code, Cursor, GitHub Copilot, or Codex)
- Working in Agile/DevOps teams with CI/CD and automated testing
- Familiarity with MCP
- Hands-on experience building AI/ML-powered solutions
- Agent frameworks (LangGraph, CrewAI, or AutoGen)
- LLM APIs (Anthropic Claude, OpenAI)
- Prompt engineering
- RAG
- Evaluation
- Deploying and monitoring agentic systems at scale
- Demonstrated success shipping products quickly inside a tightly governed enterprise
- Meeting rigorous security, compliance, and change-control standards
- Systems thinking
- Strong communication
Desired Qualifications
- JavaScript/TypeScript
- 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
- 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
- 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
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