Data Quality Developer | Focus Databricks Azure - NEARSHORE

Project overview

Service Description

Description:

Developer (m/w/d) – Global Data Quality Monitoring (GDQM)

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 this initiative, the necessary governance structures, organizational setup, operational processes, onboarding requirements, support model, and commercial framework will be defined. The goal is to connect additional German Distribution System Operators (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 further development.

Architecture documentation, operational processes, and service management procedures are only partially available or completely missing. Corporate roles such as Data Steward and Data Quality Manager are established at E.ON but have not yet been integrated into the GDQM processes.

Project Goal:

Technical further development of the Global Data Quality Monitoring (GDQM) platform, as well as the implementation and optimization of data quality rules and measurement procedures.

New business requirements will be technically implemented, existing functionalities continuously improved, and new data sources integrated into the central Measuring Engine. The basis for this is the Measuring Engine, the central Rule Repository, and the underlying data architecture.

Responsibilities

• Creation and maintenance of technical development documentation
• Advising the support team on complex technical error analysis
• Collaboration with DevOps Engineers on the deployment of new functionalities
• Coordination with business departments and GDQM SPOCs of the DSOs to clarify technical requirements
• Consultation on the technical rollout and lifecycle management of rules
• Maintenance and further development of the central Rule Repository
• Execution of code reviews, tests, and quality assurance measures
• Technical review and evaluation of new rule requirements
• Implementation and adaptation of data quality rules
• Consultation on the integration of new data sources
• Optimization of existing measurement procedures and data processing
• Analysis of business requirements and translation into technical solutions
• Technical conception and implementation of new functionalities
• Development and expansion of the GDQM Measuring Engine

Requirements

Competencies:

About the Client

!!! Nearshore resources only !!!

• German language skills are an advantage
• Strong communication skills in a distributed stakeholder environment, ability to collaborate with business departments and technical teams
• Strong problem-solving skills
• Structured and analytical working method
• High degree of personal responsibility and quality awareness
• Experience with Data Governance processes
• Knowledge of the energy industry
• Knowledge of CI/CD processes
• Experience with Azure Data Platform
• Knowledge in Data Quality Management
• Ability to analyze business requirements and their technical implementation
• Knowledge in the development and optimization of data processing
• Experience with GitLab and version control
• Experience with Databricks
• Very good SQL skills
• Experience in software development in the data engineering environment

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