Senior Data Engineer (AI & Data Products)

Raydar; United States; Remote; USD 120,000 - 147,000; Full time

Job summary

Raydar, a remote-first AI company, is seeking a Senior Data Engineer to own production data pipelines and the ontology behind our AI platform.

You will report to the CTO in a small team and grow toward technical leadership, balancing hands-on work with mentoring and architecture responsibilities. Based in Amsterdam or London with UK/CET hours, occasional on-site meetups may occur in major hubs.

Qualifications

• 6-10 years of professional data engineering experience.
• Strong production Python skills and ownership of reliable ETL/ELT pipelines.
• Experience supporting AI or machine learning features in production.
• Knowledge of graph databases and vector stores beyond SQL.
• Cloud platform experience (GCP) plus IaC, CI/CD and cloud security.
• UK or EU work authorization.
• Ability to work UK/CET hours and attend team on-sites about every two months.

Responsibilities

• Build and operate Python ingestion pipelines into graph databases and vector stores.
• Integrate data warehouses and business apps into ETL/ELT workflows.
• Design the data ontology for accurate retrieval and agent reasoning.
• Own deployment tooling, cloud infrastructure, monitoring and security.
• Shift toward a 60/40 split of engineering and mentoring or architecture leadership.

Skills

Python

ETL/ELT pipelines

Graph databases

Vector stores

Cloud (GCP)

IaC

CI/CD

Security

Production ML features

Job description

About the company

Our client is an early-stage AI company building agents for finance teams and the Office of the CFO. Its platform connects financial data across systems so AI can retrieve information and reason accurately across complex business entities.

The role / why it matters

As a Senior Data Engineer, you will own production data pipelines and the ontology behind an AI platform, reporting directly to the CTO. You will stay hands-on while growing toward technical leadership in a small, remote-first team.

What you’ll do

• Build and operate Python ingestion pipelines into graph databases and vector stores.
• Integrate data warehouses and business applications into reliable ETL/ELT workflows.
• Design the data ontology for accurate retrieval and agent reasoning.
• Own deployment tooling, cloud infrastructure, monitoring and security.
• Progress from primarily individual contribution toward a 60/40 split of engineering and mentoring or architecture leadership.

What we’re looking for

• 6-10 years of professional data engineering experience.
• Strong production Python skills and ownership of reliable ETL/ELT pipelines.
• Experience supporting AI or machine learning features in production.
• Conceptual or hands-on knowledge of graph databases and vector stores, beyond a SQL-only background.
• Cloud platform experience, preferably GCP, plus infrastructure as code, CI/CD and cloud security.
• Existing authorization to work in the UK or EU.
• Ability to work UK/CET hours and attend team on-sites about every two months.

Bonus points

• Early or founding engineering experience at a B2B startup.
• Financial systems, accounting, FP&A or business analytics experience.
• Interest in growing into a technical team lead.

Compensation and benefits

• £90,000-£110,000 annual base salary plus competitive equity.
• Direct ownership of data architecture and a path toward team leadership.

Location / work model

Full-time, remote-first, based in Amsterdam (preferred) or London and working UK/CET hours. The team may co-work locally and meets onsite about every two months in New York, London or Amsterdam. Existing UK or EU work authorization is required; new visa sponsorship is not available.