Data Platform DevOps Engineer - Hybrid/Remote Lakehouse

Tamarind Intelligence; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working model

Private health insurance

Meal vouchers

Childcare vouchers

Continuous training & certifications

Employee benefits platform

Descripción de la vacante

Aubay is seeking a Data Platform DevOps Engineer to join an international project in Madrid. You will help evolve a data platform based on Data Lakehouse and Cloud technologies, ensuring availability, performance, and scalability for analytics teams.

You will automate deployments, manage environments, and implement observability, while collaborating with Data Engineering and Architecture teams to optimize costs and drive continuous improvement.

Formación

• Experience in DevOps and data platforms for production-grade data solutions.
• Strong knowledge of Kubernetes/OpenShift and containerized deployments.
• Proficient with CI/CD tools and pipelines (Jenkins, ArgoCD, GitLab CI).
• Scripting in Python/Bash; Linux proficiency.
• SQL and data processing; Data Lake/Data Lakehouse concepts.
• Familiarity with Spark, Hadoop, Airflow and observability tools.
• Experience with Terraform/Ansible and Git for version control.

Responsabilidades

• Administer and monitor data platforms in production environments.
• Manage incidents and provide advanced L2/L3 support.
• Automate deployments and processes via CI/CD pipelines.
• Optimize platform performance and data query execution.
• Design and implement observability and monitoring solutions.
• Manage Kubernetes/OpenShift environments.
• Collaborate with Data Engineering, Analytics and Architecture teams.
• Contribute to cost optimization and continuous improvement.

Conocimientos

English (B2+/C1)

Herramientas

Kubernetes/OpenShift

Docker

Helm

Ingress

Cert-Manager

CI/CD pipelines

Jenkins

ArgoCD

GitLab CI

Python

Bash

Linux

SQL

Parquet

Iceberg

Data Governance

Data Lake/ Lakehouse

Apache Spark

Hadoop

Airflow

Observability tools

Prometheus

Grafana

ELK Stack

Dynatrace

Terraform

Ansible

Git

Descripción del empleo

Aubay is seeking a Data Platform DevOps Engineer to join an international project in Madrid. You will help evolve a data platform based on Data Lakehouse and Cloud technologies, ensuring availability, performance, and scalability for analytics teams.

You will automate deployments, manage environments, and implement observability, while collaborating with Data Engineering and Architecture teams to optimize costs and drive continuous improvement.