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Helsing

AI software and autonomous defense systems

Finance Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMunich, GermanyNo salary listedIn-person

About the Job

Requirements

  • 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 using pandas, requests, and FastAPI, and SQL including CTEs, window functions, and complex queries, without reliance on others.
  • 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, to validate financially coherent pipeline outputs.
  • Be aware of data sovereignty requirements and export-control frameworks such as ITAR and EAR.
  • Communicate technical work clearly across Finance, Engineering, Legal, and external auditors.

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 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 classified or export-controlled data, approved models and environments for each data tier, and ensuring agents operate within those boundaries.
  • Design and implement self-healing workflows in which agents detect errors, apply correction logic, and escalate 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.

Desired Qualifications

  • Experience with Abacum or an equivalent FP&A tool, or familiarity with on-premise or air-gapped LLM deployment for classified data environments.
  • Working knowledge of German at a business level.

About the Company

Helsing

AI software and autonomous defense systems

Helsing develops AI software and autonomous systems for democratic governments, covering air, land, sea, and sub-surface domains. Its software combines data from drones, radar, satellites, cameras and other sensors to create a real-time operational picture that helps commanders detect threats and move quickly, while keeping key decisions under human control. Its product lineup includes AI-enabled strike drones (HF-1 / HX-2) for contested environments and underwater surveillance systems (SG-1 Fathom) for critical infrastructure. Helsing collaborates with European armed forces and partners such as Saab, Airbus and Kongsberg, and has supported Ukraine since 2022. The company has raised large rounds of funding, with a focus on expanding AI platforms and autonomous systems for partner nations. Its goal is to provide robust, field-ready AI-powered platforms that enable faster, safer decision-making and action in defense while maintaining governance over critical choices.

Company size
501-1,000
Company stage
Series E
Total funding
$3.3B
Headquarters
Munich, Germany
Founded
2021

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