Senior Data Engineer

Arrows; Greater London; Remote; GBP 90,000 - 110,000; Full time

Job summary

Arrows is seeking a Senior Data Engineer to own the data layer for an AI finance platform. This remote-first role supports data pipelines that feed a graph and vector store, with London or Amsterdam-based team interactions.

You will implement production-grade Python ETL/ELT, connectors for Snowflake and ERP, and design scalable data models. Start hands-on and eventually mentor a data team while shaping architecture under the CTO.

Qualifications

• Build and own production Python pipelines loading data into a graph and vector store.
• Design data model to keep AI retrieval accurate across multi-entity financial data.
• Start hands-on, then mentor a data team of four and shape the architecture.
• Own end-to-end delivery from pipelines to DevOps and infrastructure.
• Add connectors for Snowflake, ERP, accounting and billing systems.

Responsibilities

• Build and own production Python pipelines that load customer data into a graph and vector store
• Add connectors for Snowflake, ERP, accounting and billing systems
• Design the data model that keeps AI retrieval accurate across multi-entity financial data
• Own your work end to end, from pipelines to DevOps and infrastructure
• Start mostly hands-on, then spend more time mentoring a data team of four and shaping the architecture

Skills

Python ETL/ELT

Graph DBs

Vector stores

GCP

CI/CD

Team mentoring

Production ML support

Tools

Snowflake

Job description

Senior Data Engineer, AI Finance Platform | Remote-first, London or Amsterdam

£90k to £110k + equity | Permanent

An AI startup heading toward its Series A is building an operating system for CFOs. Its agents reason over a company’s financial data to plan and forecast, not just report. If the data is wrong, the agents are wrong, and in finance that isn’t acceptable. You’d own the data layer that stops that happening, reporting directly to the CTO.

What you’ll do

• Build and own production Python pipelines that load customer data into a graph and vector store
• Add connectors for Snowflake, ERP, accounting and billing systems
• Design the data model that keeps AI retrieval accurate across multi-entity financial data
• Own your work end to end, from pipelines to DevOps and infrastructure
• Start mostly hands‑on, then spend more time mentoring a data team of four and shaping the architecture

What you’ll bring

• 6 to 10 years in data engineering, ML systems or backend-heavy engineering
• Strong production Python ETL/ELT
• Experience supporting an ML or AI product in production
• An understanding of graph databases and vector stores
• Cloud (ideally GCP), infrastructure as code and CI/CD

Nice to have: startup or founding engineer experience, finance or accounting data, and the ambition to lead.

Remote-first for people based in London or Amsterdam, with the whole company meeting up every couple of months. Backed by leading private equity investors and founded by ex‑big tech leaders and a 5x CFO.