Senior MLOps Engineer — Remote, Platform Impact

Cleo; España; Presencial; EUR 80.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Private medical insurance

25 days annual leave

Descripción de la vacante

Cleo is building a hyper‑intelligent financial advisor platform and seeks a senior data engineer to advance data pipelines and ML workflows. You will collaborate with product teams to deploy robust data solutions and help scale the platform across our distributed engineering org.

You will work with Python, PySpark, Kubernetes, and cloud services to deliver reliable data products while advocating for code quality and scalable architecture.

Formación

• Data system design and breakdown of work.

Responsabilidades

• Support product teams to achieve OKRs and champion data engineering and MLOps best practices.
• Act as bridge between product teams and Data Platform, surfacing issues and driving platform improvements.
• Balance hands-on engineering with strategic impact to enable scalable data and ML solutions.

Conocimientos

Data system design

Python

PySpark

Flink

Docker

Kubernetes

Terraform

Code quality

OLTP/OLAP/S3

Cross‑functional collaboration

Herramientas

PostgreSQL

AWS

CircleCI

Heroku

Descripción del empleo

Cleo is building a hyper‑intelligent financial advisor platform and seeks a senior data engineer to advance data pipelines and ML workflows. You will collaborate with product teams to deploy robust data solutions and help scale the platform across our distributed engineering org.

You will work with Python, PySpark, Kubernetes, and cloud services to deliver reliable data products while advocating for code quality and scalable architecture.