Senior Data Platform Engineer - Python, Airflow, Kubernetes

Esgaia; Spain; On-site; EUR 90,000 - 130,000; Full time

Job summary

Glass Lewis is hiring a Senior Software Engineer in Madrid to own the data platform within the Foundational Engineering team. You will build the systems that move ESG and investment data from source to client releases, using Python (FastAPI), Airflow on Kubernetes, and strong SQL with Postgres and Snowflake.

You will collaborate across data, product, and client teams to improve reliability and usability. You will also contribute to designing how Glass Lewis data comes into the release platform,

Qualifications

• 6+ years of software development experience.
• Strong Python skills with good design and tests.
• Hands-on with Airflow or similar data pipeline tool.
• Good SQL and experience with Postgres and a cloud data warehouse (Snowflake preferred).
• Experience with Kubernetes, CI/CD, and containerized deployments.
• Testing and data quality should be part of the workflow.
• Product mindset and ownership in delivering large-scale features.
• Experience with Lean/XP practices and collaboration techniques.
• Fluent in English; Spanish is a plus; Spain-based in-time zone required.

Responsibilities

• Own the data platform within the Foundational Engineering team.
• Build and maintain data release and pipeline components (Airflow on Kubernetes).
• Make the release process reliable, scalable, and user-friendly for data teams.
• Lead technical designs and coordinate across data, product, and client teams.
• Ensure production readiness with testing, monitoring and incident diagnosis.
• Design how Glass Lewis data integrates into the platform and release.

Skills

Python

FastAPI

Airflow

Kubernetes

SQL

PostgreSQL

Snowflake

CI/CD

Argo Workflows

TypeScript

Tools

Docker

Grafana

Terraform

Cloud (AWS)

Argo

Job description

Glass Lewis is hiring a Senior Software Engineer in Madrid to own the data platform within the Foundational Engineering team. You will build the systems that move ESG and investment data from source to client releases, using Python (FastAPI), Airflow on Kubernetes, and strong SQL with Postgres and Snowflake.

You will collaborate across data, product, and client teams to improve reliability and usability. You will also contribute to designing how Glass Lewis data comes into the release platform,