Senior Data Engineer

We're looking for a Senior Data Engineer to build and maintain the production data pipelines that power AI and data products. This is a hands-on opportunity for an engineer with strong Python skills, experience supporting production AI systems, and an interest in growing into technical leadership.

What you'll do

• Design, build and operate reliable ETL/ELT pipelines using Python.
• Develop and maintain data infrastructure supporting ML and AI-powered products.
• Work with graph databases and vector stores, including SurrealDB.
• Manage cloud infrastructure, deployment workflows and security controls.
• Help shape engineering practices as the team grows.

What we're looking for

• Typically 6-10 years' experience in data engineering, ML systems or backend-heavy engineering.
• Strong production Python experience building and maintaining data pipelines - essential.
• Experience supporting ML or AI-powered products in production.
• A conceptual understanding of, or practical experience with, graph databases and vector stores.
• Experience with cloud platforms, ideally GCP, alongside DevOps, infrastructure as code and CI/CD.
• Familiarity with cloud security controls and practices, including IAM, Secret Manager and SOC 2 requirements.

Nice to have

• Experience as an early employee or founding engineer at a startup, particularly B2B SaaS.
• Knowledge of financial systems, FP&A, accounting or business analytics.
• An ambition to move into team leadership.

Location and travel

• You must have the right to work in the UK or EU without visa sponsorship.
• You must be willing to attend in-person gatherings once every two months, in New York, London or Amsterdam.