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Senior Data Engineer
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hiring on behalf of our client
Title: Senior Data Engineer
Time: Full-Time (UK/CET Hours)
Location: Remote (Amsterdam/London)
Compensation: £90,000 - £110,000 / year + competitive equity
The Company
Our 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 Overview
The 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.
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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.
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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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