DevOps Engineer | Focus Databricks Azure - NEARSHORE

Project overview

Service Description

Description:

DevOps Engineer – GDQM Platform

GDQM was developed as a project within the Data expert team and is currently used by four German Distribution System Operators (DSOs) for a limited scope, primarily for EAM and HARnes.

Transformation of Global Data Quality Monitoring (GDQM) from a project-based solution to a scalable enterprise service.

As part of the initiative, the necessary governance structures, organizational setup, operating processes, onboarding requirements, support model, and commercial framework will be defined. The goal is to connect additional German DSOs and business units to GDQM and integrate the solution into the Governance & Data Products Platform portfolio.

The solution is based on Databricks, SQL, Power BI, GitLab, and CI/CD pipelines. Currently, there is no formal operating model, dedicated product team, commercial model, or governance framework for topics such as onboarding, support, approvals, rule management, or platform development.

Architecture documentation, operating processes, and service management procedures are only partially available or completely missing. Although corporate roles like Data Steward and Data Quality Manager are established at E.ON, they have not yet been integrated into the GDQM processes.

Project Goal:

A stable technical operation as well as the deployment and operating processes of the GDQM platform. Measurements should be executed reliably, and new rules and functions should be rolled out in a controlled manner.

Responsibilities

Platform Operation

• Ensuring the stable operation of the GDQM platform
• Monitoring measurements and platform infrastructure
• Technical analysis and resolution of faulty measurements (Second/Third Level)
• Problem management: Root cause analysis and sustainable error correction
• Deployment & CI/CD
• Support of GitLab repositories and deployment processes
• Setup, maintenance, and further development of CI/CD pipelines
• Technical rollout and lifecycle management of rules (e.g., staging, release, rollback)
• Platform Control
• Coordination with platform teams (e.g., Data & AI Hub)
• Technical consulting for connecting new data sources (access, connectivity, permissions)
• Maintenance of technical and operational documentation

Requirements

Must Haves:

• Experience with GitLab and CI/CD
• Knowledge in the technical operation of data platforms
• Experience with Databricks (Jobs, Clusters, Workspace Administration)
• Good SQL knowledge for error analysis
• Experience with the Azure Data Platform
• Knowledge in Infrastructure as Code (e.g., Terraform)
• Experience with Data Governance processes
• Personal Competencies
• High degree of personal responsibility and reliability
• Strong problem-solving skills, even under time pressure
• Structured way of working

Nice to have

About the Client

!!! Only for Nearshore candidates !!!

• German language skills are an advantage

Project details

from 02.11.2026

End: until 14.12.2026 + Option

Volume: 320 hours

• Start: flexible
• Remote: remote
• Location: DE, Deutschland, DE
• Languages: German