Finance Data Engineer

Cager is redefining how organisations deploy AI agents. Our zero-ops platform runs each agent in an isolated environment, fully separated from core business systems, while anomaly detection identifies model misbehaviour before it causes harm. Available as SaaS or on-premises, Cager enables organisations to adopt AI agents safely and with confidence.

We aim for 10x, not 10%. Every role contributes to a future where prevention is the norm and the internet is safer for everyone.

Build the data infrastructure behind Cager's financial operations: usage metering, billing and the reporting relied upon by leadership, investors and clients.

• A metering and billing pipeline for SaaS and on-premises usage.
• Accurate, automated financial and KPI reporting.
• Automated data flows into accounting systems.

• Strong SQL and Python skills for building data pipelines.
• Understanding of financial data, including revenue, billing and accounting fundamentals.
• Experience in data modelling and data quality.

• Experience with SaaS billing platforms such as Stripe.
• Knowledge of Swedish accounting practice.
• Clear communication, with the ability to explain trade-offs to clients, engineers and management alike.
• Fluency with modern AI tooling to increase productivity and quality.

• Client first. Every decision starts with the needs of the people we serve.
• 10x, not 10%. We pursue step changes, not incremental gains.
• Technology-enabled, human-centred. We build advanced systems for real people.
• Ownership. We deliver production-quality work, using AI tools to move faster while keeping judgement and accountability our own.
• Shared knowledge. We mentor, review each other's work and foster a culture of openness and continuous improvement.

Compensation will be confirmed following our initial funding round.