Data Ops Engineer

Comunidad de Madrid
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Azure
Cloud Database
Continuous Integration
Data Architecture
Information Engineering
Data Infrastructure
ETL
DevOps
Information Technology Operations
Python
Systems Development Life Cycle
Release Management
DataOps
Runbook
Software Deployment
SQL Databases
Data Streaming
System Availability
Snowflake
Grafana
GIT
PySpark
Data Management
Terraform
Data Pipelines
Databricks

Job description

We are looking for a Data Operations Engineer to manage the operations, reliability, governance, and continuous improvement of a cloud-based Data Platform. The role involves supporting production environments, ensuring platform stability, managing deployments, and collaborating with engineering, IT Operations, and business teams., * Manage day-to-day Data Platform operations and production support.

  • Monitor platform health, troubleshoot incidents, and perform root cause analysis.
  • Govern Production deployments, release management, and change controls.
  • Improve CI/CD pipelines, DevOps practices, and SDLC processes.
  • Maintain monitoring, alerting, operational documentation, and runbooks.
  • Collaborate with Data Engineering, Infrastructure, Security, and business stakeholders.
  • Ensure platform reliability, security, compliance, and operational excellence.

Requirements

  • Strong experience in Data Platform Operations and Production Support.
  • Hands-on experience with Snowflake, Databricks, DBT, Python, PySpark, and SQL.
  • Experience with CI/CD, Git, release management, and SDLC.
  • Knowledge of ETL/ELT pipelines, data workflows, monitoring, and incident management.
  • Understanding of Data Architecture and Data Modeling.

Nice to Have

  • Power BI Administration
  • Azure Cloud Services
  • Terraform (IaC)
  • Data Quality & Observability tools
  • Data Streaming technologies
  • FinOps and platform cost optimization, * 5+ years in Data Engineering, Data Operations, Platform Engineering, DevOps, SRE, or Production Support.
  • Experience supporting enterprise cloud data platforms in production.
  • Experience with Agile delivery and production release governance.

Soft Skills

  • Strong communication and stakeholder management.
  • Excellent analytical and problem-solving skills.
  • Ownership mindset with attention to detail.
  • Ability to work under pressure and drive continuous improvement.

Apply for this position