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Finance Data Engineer

Helsing· Finance
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Hybrid (Munich, Germany)full-timePosted 3mo ago

About the role

Finance Data Engineer at Helsing, a defence AI company in Munich. Owns design and deployment of automated finance data pipelines, AI-driven validation, and data sovereignty controls to ensure compliant, self-correcting finance data flows within government-contract constraints.

Responsibilities

  • Own the agentic finance build roadmap: identify, prioritise, build, test, and iterate on AI agents that replace manual finance workflows, using frameworks such as LangChain, CrewAI, or AutoGen, from prompt design through to production deployment
  • Design and maintain automated data pipelines connecting SAP, Abacum, and Citi, and build AI-driven validation layers that govern data quality across the Finance stack
  • Define and maintain the data classification and routing framework for all Finance AI workloads, specifying which data is classified or export-controlled, which models and environments are approved for each data tier, and ensuring all agents operate within those boundaries at all times
  • Design and implement self-healing workflows in which agents detect their own errors, apply correction logic, and escalate only genuine exceptions to human review, and monitor pipelines using observability tooling such as LangSmith
  • Partner with the ICS Lead and Legal to ensure every automated workflow is audit-compliant, leaves a full traceable record, and meets the data sovereignty requirements of Helsing's government contracts

Qualifications

  • Have built and maintained production-grade data pipelines in a finance, scale-up, defence, or regulated environment, with hands-on SAP experience including FI/CO data extraction, BAPIs, and OData services
  • Write production-quality Python (pandas, requests, FastAPI) and SQL (CTEs, window functions, complex queries) without reliance on others, and have integrated REST and SOAP APIs with pipeline tools such as Azure Data Factory, dbt, or Airflow
  • Have designed and deployed AI agents in a production context, with practical experience of frameworks such as LangChain, CrewAI, or AutoGen
  • Understand accounting fundamentals, including double-entry bookkeeping, intercompany eliminations, and treasury reconciliation, at a level that enables you to validate that your pipelines produce financially coherent outputs
  • Are aware of data sovereignty requirements and export-control frameworks such as ITAR and EAR, and can communicate technical work clearly across Finance, Engineering, Legal, and external auditors

Skills

Required:PythonSQLSAP FI/COAI agents frameworks

Benefits

  • Competitive salary
  • VSOP options
  • Relocation support: up to €2,500 and 4 weeks temporary accommodation
  • Learning: €500/£450 yearly allowance
  • Health & wellness: gym membership and mental health support (Nilo.health)
  • Social: regularly company events and monthly social allowances
  • Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
  • Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work
Last updated Sep 15, 2026. Interested? Apply on the company site.

About Helsing

Helsing | Artificial intelligence to protect our democracies

AI for electronic warfareAI-enabled precision mass and autonomous systemsAutonomous air dominanceMass defence manufacturingRecce strike softwareUnderwater autonomous massliquid-ai-recruiting-target
Company profileWebsite

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