Description
Job Overview
As a Finance Data Engineer at Helsing, you will play a crucial role at the intersection of finance automation and data sovereignty. You will be responsible for designing and deploying automated pipelines, building AI-driven validation layers, and making the company's finance data flows self-correcting.
Key Responsibilities
- Own the agentic finance build roadmap, identifying, prioritizing, building, testing, and iterating on AI agents that replace manual finance workflows.
- 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.
- Design and implement self-healing workflows and monitor pipelines using observability tooling.
- Partner with the ICS Lead and Legal to ensure every automated workflow is audit-compliant.
Requirements
- Experience building and maintaining production-grade data pipelines in a finance, scale-up, defence, or regulated environment.
- Hands-on SAP experience including FI/CO data extraction, BAPIs, and OData services.
- Proficiency in Python, SQL, and integrating REST and SOAP APIs with pipeline tools.
- Experience designing and deploying AI agents in a production context.
- Understanding of accounting fundamentals and data sovereignty requirements.
Nice to Have
- Experience with Abacum or an equivalent FP&A tool.
- Familiarity with on-premise or air-gapped LLM deployment for classified data environments.
- Working knowledge of German at a business level.
Benefits
- Competitive salary and 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.
- Social: regularly company events and monthly social allowances.
- Enhanced parental leave and family support.