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Data DevOps Engineer

Encamina
Madrid, Spain
30 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
6 years minimum
Working hours
Shift work
Job source
www.jobleads.com

Tech stack

Application Programming Interfaces (APIs) Microsoft Azure Cloud Computing Python (Programming Language) Key Management Web Application Frameworks System Availability Backend Git Kubernetes Google Cloud Functions Terraform
+4 more
Serverless Computing Docker Artifactory Microservices

Requirements

  • More than 6 years of experience in cloud engineering or DevOps roles.
  • Extensive hands-on experience with Python, including the development of clean, well-structured, and maintainable API code.
  • Proven experience designing and implementing APIs and backend solutions using Python frameworks and libraries.
  • Strong expertise in Terraform, CI/CD automation, and Git.
  • Experience with Azure services such as Azure Function Apps and Azure Key Vault.
  • Experience with Kubernetes, Docker, and Helm.
  • Experience with observability, security monitoring, and platform reliability practices., * Splunk
  • Grafana
  • Prometheus
  • Azure Log Analytics Workspace

Azure Services

  • Azure Functions
  • Azure Key Vault

Packaging & Deployment

  • Azure DevOps
  • Artifactory
  • Docker
  • Kubernetes

Architecture

  • Microservices
  • APIs

Benefits & conditions

  • Permanent contract
  • Accelerated professional development and visibility within the tech community
  • Flexible schedule
  • Intensive working hours every Friday and during three summer months
  • 23 vacation days per year, plus December 24th and 31st off

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobleads.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:30 min

Transitioning from software engineering into a DevOps trajectory

Davide Imola Davide Imola · LIVE

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:34 min

Pivoting careers into specialized platform engineering roles

Xavier Portilla Edo · LIVE

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

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Coffee With Developers • almost 2 years ago

How a Small Team Shrank a Microsoft Monorepo by 94%

Jonathan Creamer

Docker Compose: Rediscovered thumbnail
28:40
Europe 2026 Virtual • about 1 month ago

Docker Compose: Rediscovered

Matthieu Vincent

Developing the Backend with Stefan Lingler, CTO at Shpock thumbnail
24:02
Coffee With Developers • about 8 years ago

Developing the Backend with Stefan Lingler, CTO at Shpock

Stefan Lingler, Thomas Pamminger

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 3 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Git for Code Reviews thumbnail
24:19
WWC 2022 • about 4 years ago

Git for Code Reviews

Johannes Haux

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
WWC Europe 2026 • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

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