Data Platform DevOps Engineer- 50% TW (Madrid)

Aubay Spain; Comunidad de Madrid; Presencial; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid 50% remote

Private health insurance

Meal vouchers

Childcare vouchers

Training & certifications

Corporate discount platform

Descripción de la vacante

Aubay Spain is seeking a Data Platform DevOps Engineer to join an international financial project, contributing to the evolution of a Data Lakehouse platform on Cloud technologies.

You will monitor production, automate deployments via CI/CD, manage Kubernetes/OpenShift, and collaborate with Data Engineering, Analytics, and Architecture teams in a hybrid 50% remote setup.

Formación

• Experience with DevOps in data platforms and cloud environments.
• Familiarity with Data Lakehouse concepts and big data tooling.
• Strong automation, monitoring, and CI/CD capabilities.

Responsabilidades

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

Conocimientos

DevOps mindset

Automation

Troubleshooting

Scripting

Herramientas

Kubernetes

OpenShift

Docker

Jenkins

ArgoCD

GitLab CI

Terraform

Ansible

Git

Linux

SQL

Spark

Hadoop

Airflow

Prometheus

Grafana

ELK Stack

Dynatrace

Descripción del empleo

Province: Madrid

Number of Open Positions: 1

Responsibilities

At Aubay, we continue to grow and are looking for a Data Platform DevOps Engineer to join an international project in the financial sector, contributing to the evolution and optimization of a next-generation data platform based on Data Lakehouse and Cloud technologies.

We are seeking professionals with experience in DevOps environments and data platforms, interested in working with Big Data technologies, automation, observability, and scalable architectures.

What will your mission be?

You will be part of an international team responsible for ensuring the availability, performance, scalability, and optimization of a data virtualization platform used by various engineering and analytics teams.

You will contribute to process automation, environment management, platform monitoring, and the continuous improvement of Data Lakehouse architectures.

What will you do?

• Administer and monitor data platforms in production environments.
• Manage incidents and provide advanced technical support (L2/L3).
• Automate deployments and processes through CI/CD pipelines.
• Optimize platform performance and data query execution.
• Design and implement observability and monitoring solutions.
• Manage Kubernetes/OpenShift environments.
• Participate in the integration and evolution of Data Lake and Data Lakehouse ecosystems.
• Collaborate with Data Engineering, Analytics, and Architecture teams.
• Contribute to cost optimization (FinOps) initiatives and continuous improvement.

Requirements

Required tools and technologies:

• Dremio (or equivalent technologies such as Presto or Trino).
• Kubernetes / OpenShift / Docker (Helm, Ingress, Cert-Manager, Networking).
• CI/CD tools (Jenkins, ArgoCD, GitLab CI).
• Scripting languages (Python, Bash).
• Linux.
• SQL / Data processing (query execution analysis).
• Data Lake concepts (Parquet, Iceberg, Polaris, Data Governance).
• Data Lakehouse / Big Data.
• Apache Spark (highly desirable).
• Hadoop.
• Airflow (orchestration).
• Observability tools.
• Prometheus.
• Grafana.
• ELK Stack.
• Dynatrace.
• Infrastructure & DevOps.
• Terraform.
• Ansible.
• Git.
• English level: B2+ / C1.

What we offer

• Permanent contract and long-term project.
• Innovative and technologically challenging projects.
• Professional development in an international environment.
• Hybrid working model (50% remote work).
• Flexible compensation package: private health insurance, meal vouchers, and childcare vouchers.
• Continuous training and access to professional certifications.
• Corporate discount platform and employee benefits program.
• Salary to be negotiated.