Financial Data Engineer (AI)

Location: Budapest, Hungary

Salary: HUF 16,150,000–17,765,000 per year, plus eligibility for an annual bonus

Company

hirify.global provides research, financial data, analytics, indexes, and ESG and climate products for the global investment community.

What you will do

• Design, build, and deploy production-grade agentic AI and automation solutions for collecting, validating, and quality-assuring data.
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections for autonomous workflows.
• Architect scalable, secure, high-performance applications with reliable code, automated testing, and maintainable design patterns.
• Automate market-data and terms-and-conditions databases for availability, low latency, scalability, and fault tolerance.
• Build CI/CD pipelines, monitoring, telemetry, feedback loops, and operational tools for production systems.
• Diagnose production issues and establish reusable engineering components, patterns, and standards.

Requirements

• 4–6 years of experience in 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 equivalent practical experience.
• Strong Python engineering skills, with SQL, PL/SQL, Linux/Unix, and Git.
• Experience with data pipelines, workflow orchestration, ETL/ELT, relational databases, and cloud or big-data storage such as ADLS and Snowflake.
• Experience delivering production-quality software in Agile and DevOps environments with CI/CD and automated testing.
• Systems thinking and the ability to communicate technical decisions to technical and non-technical stakeholders.

Nice to have

• JavaScript or TypeScript, MCP, and reusable Skills experience.
• Market-data experience covering reference data, corporate actions, benchmarks, indexes, or pricing.
• Familiarity with LSEG/Refinitiv, Bloomberg, S&P, financial, ESG, sustainability, or capital-markets data.
• Experience with LangGraph, CrewAI, AutoGen, Anthropic Claude, OpenAI, prompt engineering, RAG, and AI evaluation.
• Experience deploying and monitoring agentic systems at scale.

Culture & Benefits

• Flexible working arrangements, advanced technology, and collaborative workspaces.
• Comprehensive employee benefits tailored to the work location.
• Annual bonus eligibility and transparent compensation schemes.
• Global orientation, learning platforms, AI training, and ongoing development opportunities.
• Career growth through internal mobility, expanded roles, and multi-directional career paths.
• Inclusive employee resource groups and a global network of colleagues.