KU - Data & AI Governance Engineer | Collibra, LeanIX & OneTrust | Metadata Management, Integration & AI Governance - NEARSHORE

Project overview

With this request, we are looking for a Data & AI Governance Engineer | Collibra, LeanIX & OneTrust | Metadata Management, Integration & AI Governance - NEARSHORE!!!!

OFFER DEADLINE: 17.11.2026

ATTENTION: We can only offer Nearshore capacities for this role!!!!

Activity:

The Data & AI Governance team at E.ON Energie Deutschland uses the existing AI Management System (KIMS) as a basis for the secure, transparent, and reliable use of Artificial Intelligence. The focus is on the stable operation of existing governance structures, as well as the maintenance and monitoring of AI use cases and their connections with AI models, AI agents, data, data processing, AI applications, and business processes.

The goal of the assignment is the stabilization and optimization of the operation and architecture of the existing governance landscape around Collibra, LeanIX, OneTrust, Atlan, and other platforms. The focus is on monitoring systems, interfaces, metadata flows, and automated processes, analyzing and resolving disruptions, and maintaining existing governance models and workflows. Adjustments within the existing architecture serve operational security, data quality, and the reliable fulfillment of business and regulatory requirements.

Relationship models.

Project language:

English very good

German desirable

Utilization:

1080 hours fully remote

Fee:

max. € 70.00 / hour for remote

please state your hourly rate at which we can offer you

Payment term:

30 days

• Monitoring, maintenance, and stabilization of integrations between Collibra, LeanIX, OneTrust, Atlan, and other architecture, data, and governance platforms; analysis of interface errors and implementation of adjustments to ensure reliable data exchange.
• Monitoring and optimization of automated metadata flows via REST APIs, JSON, OpenAPI, ETL/ELT processes, and event-based integration patterns, including the resolution of processing errors and ensuring consistent metadata.
• Operation, monitoring, and maintenance of technical workflows for intake processes, approvals, reviews, lifecycle management, role models, and audit requirements, as well as adjustments to improve reliability and process quality.
• Ensuring consistent connections of governance objects within the existing cross-system architecture, as well as maintaining operational documentation and traceable, audit-proof documentation of operational changes.
• Technical coordination of operational disruptions, maintenance measures, and optimizations in close cooperation with Data & AI Governance, IT Architecture, Cyber Security, Data Protection, and business departments.
• Analysis and prioritization of operational problems and optimization needs, as well as implementation of clearly defined, smaller adjustments to existing functions, including testing and controlled integration into operations.
• Successfully completed studies in Computer Science, Business Informatics, Data Science, or a comparable qualification.
• Several years of practical experience in the operation, setup, configuration, or further development of governance and metadata management platforms, especially Collibra; experience with Atlan, Alation, or Microsoft Purview is an advantage.
• Sound knowledge in Enterprise Architecture, Solution Architecture, API-based integrations, data modeling, and platform architectures.
• Technical understanding of Data Products, Metadata Management, AI Governance, data quality, and regulatory requirements, especially GDPR and EU AI Act.
• Experience with LeanIX, OneTrust, and the integration of architecture, data protection, and governance platforms.
• Knowledge of REST APIs, JSON, OpenAPI, ETL/ELT processes, and event-based integration.
• Ideally, experience with Snowflake, Databricks, Azure Data & AI Services, or comparable cloud and data platforms.
• Experience in monitoring and optimizing workflows, approval processes, governance automation, and audit-proof documentation.
• Confident use of Jira and Confluence, as well as experience with agile methods and product organizations.
• Strong analytical and structured way of working.
• Independent execution of complex tasks with a high quality standard.
• Confident collaboration with business departments, governance functions, and IT.
• Very good communication skills and the ability to explain technical issues understandably.
• Very good English skills, spoken and written. German language skills are desirable.

Project details

01.01.2027

Duration / End

30.06.2027

• Start: 2027-01
• Duration: 6 Monate
• Remote: remote
• Location: Remote, Deutschland, DE
• Rate: unknown-70 EUR/h
• Languages: English, German