We are an international technology services company founded in 1983 and currently have more than 2,000 employees in 5 countries: France, Spain, Romania, Portugal, and Luxembourg.

What are we looking for

A DevOps Engineer, to join a stable international project, based in MADRID, collaborating in data virtualization project, ensuring the performance, stability, and cost optimization of the data access platform while following the guidelines and technologies.

RESPONSIBILITIES

Operations & RUN

• Monitor the Dremio platform (clusters, services, jobs, infrastructure)

• Manage incidents and problems (L2/L3 support) while meeting RTO and RPO targets

• Track platform availability and SLA compliance

• Provide support to Data teams (Data Engineers / Analysts)

Industrialization & DevOps

• Automate deployments (CI/CD)

• Standardize environments (DEV / PREPROD / PROD)

• Implement DevOps best practices (versioning, pipelines)

Performance & Scalability

• Optimize Dremio queries

• Size and tune clusters (CPU, RAM, storage) with the support of Infrastructure provider

• Manage caching, reflections, and query acceleration

• Analyze performance bottlenecks (I/O, network, compute)

Observability & Monitoring

• Build monitoring dashboards (Prometheus, Grafana, Dynatrace)

• Track key metrics:

o Query latency

o Cluster saturation

o Resource consumption

• Implement alerting and continuous improvement processes

Cloud & Infrastructure

• Manage the deployment by IT Ops on Kubernetes / OpenShift

• Integrate with Data Lakes (S3, HDFS, etc.) with the support of the infrastructure provider

FinOps & Cost Optimization

• Analyze infrastructure and product costs

• Optimize usage (auto-shutdown, sizing, scheduling)

• Provide architecture recommendations for cost efficiency

Data

• Provide vision and support for building virtualized Data Lakehouses on Dremio

• Implement controls and monitoring mechanisms for data usage and access

• Contribute to improving data usage by optimizing virtualized datasets and pipelines (in collaboration with Data Prep tools: SAS, Dataiku, Sparrow, and Data Visualization tools: Power BI, Tableau)

IT TOOLS

o Dremio (or equivalent: Presto, Trino)

o Kubernetes / OpenShift / Docker (Helm, Ingress, Cert-Manager, Networking)

o CI/CD (Jenkins, ArgoCD, GitLab CI)

o Scripting (Python, Bash)

o Linux

o SQL / Data processing (execution analysis)

o Data Lake concepts (Parquet, Iceberg, Polaris, governance)

o Data Lakehouse / Big Data

o Apache Spark

o Hadoop

o Airflow

o Prometheus / Grafana / ELK / Dynatrace

o Terraform / Ansible

o Git

SKILLS

– Experience of 2 to 3 years.

– Problem-Solving skills and attention to detail

– Ability to understand, explain and support change

– Strong RUN / Production mindset

– Ability to collaborate with multiple Data teams and stakeholders

– Service-oriented with high responsiveness

– Autonomous, with the ability to challenge and improve architecture

LANGUAGES

• English level B2 or higher.

Working Model Hybrid.

Flexible hours from Monday to Friday.

We offer: