Data Platform DevOps Engineer- 50% TW (Madrid)

Aubay Spain; Madrid; On-site; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Permanent contract

International environment

Professional certifications

Private health insurance

Job summary

Aubay Spain is seeking a Data Platform DevOps Engineer to join an international project in the financial sector, helping evolve a next‑gen data platform based on Data Lakehouse and cloud tech.

You will contribute to automation, environment management, monitoring, and continuous improvement of Data Lakehouse architectures, collaborating with Data Engineering, Analytics, and Architecture teams in an international setting.

Qualifications

• Experience building and operating data platforms in production environments.
• Knowledge of Data Lake concepts (Parquet, Iceberg) and Data Lakehouse architectures.
• Familiarity with cloud technologies and automation tooling.

Responsibilities

• 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.
• Design and implement observability and monitoring solutions.
• Collaborate with Data Engineering, Analytics, and Architecture teams.

Skills

DevOps

Big Data

CI/CD

Observability

Automation

Tools

Dremio

Presto/Trino

Python

Bash

SQL

Spark

Hadoop

Airflow

Grafana

ELK Stack

Dynatrace

Terraform

Ansible

Git

Job description

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.
• 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).
• Scripting languages (Python, Bash).
• 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.
• Grafana.
• ELK Stack.
• Dynatrace.
• Infrastructure & DevOps.
• Terraform.
• Ansible.
• Git.

What we offer

• Permanent contract and long-term project.
• Innovative and technologically challenging projects.
• Professional development in an international environment.
• 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.