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Finance Data Engineer

4 months, 2 weeks ago
Germany
Full-time
Senior
Data Engineer
Data Science and Analytics
Apache Airflow dbt FastAPI Pandas Python REST API SAP SQL
Apply Now
Helsing

Helsing

Helsing is a security and AI company committed to safeguarding democracies through cutting-edge technology, emphasizing ethical standards and global leadership in real-time information processing.

Aerospace & Defense
51-250
Founded 2021
$343M raised
View All Jobs 13

Description

  • Own the agentic finance build roadmap by identifying, prioritising, building, testing, and iterating on AI agents that replace manual finance workflows.
  • Design and maintain automated data pipelines connecting SAP, Abacum, and Citi.
  • Build AI-driven validation layers to govern data quality across the finance stack.
  • Define and maintain the data classification and routing framework for finance AI workloads.
  • Ensure sensitive or export-controlled data never reaches public LLMs or unapproved systems.
  • Design self-healing workflows that detect errors, apply correction logic, and escalate only genuine exceptions to human review.
  • Monitor pipelines and agent behaviour using observability tooling such as LangSmith.
  • Partner with the ICS Lead and Legal to ensure automated workflows are audit-compliant and meet government contract data sovereignty requirements.

Requirements

  • Production-grade data pipeline experience in a finance, scale-up, defence, or regulated environment.
  • Hands-on SAP experience, including FI/CO data extraction, BAPIs, and OData services.
  • Strong production Python skills with pandas, requests, and FastAPI.
  • Strong SQL skills, including CTEs, window functions, and complex queries.
  • Experience integrating REST and SOAP APIs with tools such as Azure Data Factory, dbt, or Airflow.
  • Production experience designing and deploying AI agents, with frameworks such as LangChain, CrewAI, or AutoGen.
  • Understanding of accounting fundamentals, including double-entry bookkeeping, intercompany eliminations, and treasury reconciliation.
  • Awareness of data sovereignty requirements and export-control frameworks such as ITAR and EAR.
  • Ability to communicate technical work clearly across Finance, Engineering, Legal, and external auditors.
  • Experience with Abacum or an equivalent FP&A tool, or familiarity with on-premise or air-gapped LLM deployment for classified data environments (preferred).
  • Working knowledge of German at a business level (preferred).

Benefits

  • Competitive salary and VSOP options.
  • Relocation support of up to €2,500 plus 4 weeks of temporary accommodation.
  • €500/£450 yearly learning allowance.
  • Gym membership and mental health support through Nilo.health.
  • Regular company events and monthly social allowances.
  • Enhanced parental leave, including 22 weeks fully paid for primary caregivers and 6 weeks for secondary caregivers.
  • 5 days of paid family emergency leave.
  • 100% remote work option during pregnancy and a phased return to work.

Interested in this position?

Apply directly on the company website

Apply Now

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