Data Engineer / Developer | Databricks & SQL | Data Quality Rules & Measuring Engine - NEARSHORE

Project overview

Contact Person for this request

Kerstin Ufer

Tel.: [contact removed]

E-Mail: [contact removed]

For the following activity, we are looking for 1 applicant with the following qualifications - perhaps you would be available or can make a recommendation:

By using the masculine form of the word "consultant / developer etc.", all genders female/male/diverse are meant.

With this request, we are looking for a Data Engineer / Developer | Databricks & SQL | Data Quality Rules & Measuring Engine

DEADLINE FOR OFFERS: 29.10.2026

ATTENTION: We can only offer nearshore capacities for this.

Service Description:

Developer – 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, mainly for EAM and HARnes.

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

Within the scope of this project, the necessary governance structures, organizational setup, operational processes, onboarding requirements, the support model, and the commercial framework will be defined. The goal is to connect further German Distribution System Operators (DSOs) and business units to GDQM and to integrate the solution into the portfolio of the Governance & Data Products Platform.

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 measuring 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.

Main Tasks

• 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
• Consulting 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
• Consulting on the integration of new data sources
• Optimization of existing measuring 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

Knowledge of German is 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

Utilization:

320 hours Remote

Fee:

max. € 52.00 / hour Remote

Payment Terms:

30 days

Other

Project details

02.11.2026

Duration / End

14.12.2026

Start / End

02.11.2026 - 14.12.2026

Place of Assignment

Payment Terms

30 days

Fee

Please state your hourly rate on an all-in basis

Other

If you can submit a qualified offer for this request, please send us a meaningful profile, including a concrete statement on availability and conditions. Please note that we will use the data you provide exclusively for the purpose of mediating project assignments, in accordance with §5 BDSG. Disclosure to third parties within this scope will only occur after obtaining your consent. Thank you in advance for your support.

• Start: 02.11.2026
• Duration: bis 14.12.2026
• Remote: remote
• Location: Remote, DE
• Languages: German