About The Role Theia Insights builds foundational financial intelligence products, including industry classification, knowledge graphs and factor risk models, for institutional investors. We serve some of the largest asset managers, hedge funds, index providers and sell-side banks.

About The Role Theia Insights builds foundational financial intelligence products, including industry classification, knowledge graphs and factor risk models, for institutional investors. We serve some of the largest asset managers, hedge funds, index providers and sell-side banks.

As an engineer on the Platform team you'll productise our data and build the ways customers access and work with it. You'll own the analytical services, APIs and MCP connectors that let customers query our data directly from the tools they already use, and build first-party applications powered by our data.

What You'll Do

Build and operate async REST endpoints (FastAPI, Pydantic) that serve large datasets reliably and quickly

Work with large tabular data in pandas, Parquet/Arrow and DuckDB, and manage the memory and performance trade-offs of moving big datasets efficiently

Own the identity and access layer, including AWS technologies for identity, authorisation and data distribution, supporting access to data through multiple channels

Design and build new access points for our data, such as APIs, analytical services and MCP connectors

Run services on AWS, with infrastructure in AWS CDK shipped via CodePipeline

Productionise code from the data and quantitative teams





Occasionally contribute changes to Theia Insights' TypeScript/React frontends that consume our API, particularly where a feature is simplest to own end to end

Take end-to-end ownership of reliability and performance, including graceful handling of failure modes

Requirements Essential

Strong production Python including experience shipping and operating services

HTTP APIs in a typed framework such as FastAPI, with schema and contract discipline

Production AWS: S3, a compute service (e.g. ECS/Fargate or Lambda) and a datastore, with least-privilege IAM

Useful

Auth in production: OAuth2/OIDC, JWT validation, API keys, scopes

Tabular data at scale: pandas plus Parquet/Arrow, ideally DuckDB

Multi-tenant SaaS: RBAC, API-key management

Nice to have

Infrastructure as code (CDK in TypeScript, or Terraform)

React/TypeScript, or comfort in a polyglot repo

LLM or MCP integration and AI-facing tooling

Financial-data or regulated-environment background

Experience We're Looking For We care more about what you've owned than years on a CV. A strong mid-level engineer who has shipped and operated production AWS services, owning one end to end with tests, will meet the bar. Senior candidates will likely have designed large scale systems, owned responsibilities for auth or multi-tenant access, made cross-region and disaster-recovery trade-offs, and set the standard for a team.

Benefits

Competitive salary plus share options

25 working days holiday, plus Spanish public holidays

Hybrid working from Barcelona

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📌 Software engineer: platform and backend (mid-career / senior) (Madrid)
🏢 Theia Insights
📍 Madrid