*hiring on behalf of our clientTitle: Senior Data EngineerTime: Full-Time (UK/CET Hours)Location: Remote (Amsterdam/London)Compensation: £90,000 - £110,000 / year + competitive equityThe CompanyOur client is an AI-native operating system built for CFOs, delivering autonomous multi-agent systems that transform complex financial data into forward-looking strategic intelligence. Supported by top-tier investors and industry leaders, the company tackles the highest bar of enterprise AI: GAAP accounting, multi-entity consolidations, and board-level insights where hallucinations are strictly unacceptable. They operate as a fast-paced, remote-first team with regular company gatherings held every two months.Role OverviewThe Senior Data Engineer will own production Python data pipelines and data ontology to ensure multi-agent systems retrieve and reason over financial data with total accuracy. Starting as an 80% hands-on Individual Contributor, you will take full end-to-end ownership of backend data systems, integration connectors, and supporting infrastructure. Over time, you will evolve toward a 60% IC and 40% architecture and mentoring split, with the opportunity to step into a Tech Lead role for a core data team of four.Key Responsibilities• Build, scale, and maintain production ETL/ELT data pipelines in Python.• Develop robust connectors and data provider integrations to ingest data from Snowflake, ERPs, accounting platforms, and billing systems.• Design and manage data ontologies and modeling structures tailored for AI retrieval, RAG/GraphRAG, and multi-agent reasoning systems.• Integrate and manage downstream data layers using graph databases and vector stores.• Drive end-to-end operational ownership including DevOps, Infrastructure-as-Code (IaC), CI/CD pipelines, and cloud security implementations.• Architect scalable data foundations while mentoring mid-level and junior data engineering team members.• Collaborate closely with cross-functional remote engineering teams and participate in regular bi-monthly company on-sites.Qualifications• 6 to 10 years of experience in data engineering, ML systems, or backend-heavy engineering roles.• Exceptional mastery of Python for production pipeline development.• Proven track record of building and managing production ETL/ELT pipelines and backend integrations.• Practical experience supporting AI/ML products or systems in production.• Strong conceptual and technical understanding of graph databases and vector stores.• Demonstrated ability to own projects end-to-end, including foundational DevOps, CI/CD, and infrastructure work.• Proactive, self-sufficient problem solver who takes initiative without waiting for explicit instructions.• Solid track record of stable employment history.• Willingness and ability to attend bi-monthly company on-sites in London, Amsterdam, or New York.Requirements & Qualifications• Prior experience in an early-stage startup environment or B2B SaaS company.• Hands-on experience with RAG, GraphRAG, or complex AI retrieval architectures.• Exposure to financial data domains, GAAP accounting concepts, or Office of the CFO systems.• Experience working with SurrealDB or cloud platforms such as GCP.

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