Data Component Quality Lead | Data Component Quality Lead (m/w/d)

Guldberg GmbH

Poing bei München, Bayern, Deutschland
Published May 22, 2026
Full-time
Permanent

Job Summary

As a Data Component Quality Lead, you will be responsible for developing and operationalizing a data quality strategy and associated workflows for data-centric systems, with a specific focus on structured data logging. Your role involves ensuring adherence to established standards for quality, reliability, security, and performance throughout the data lifecycle. You will define critical data elements, KPIs, and dashboards to monitor data status and quality performance. Leveraging your analytical expertise, you will establish an effective troubleshooting process using modern problem-solving methods and tracking tools to oversee the implementation of remedial and corrective actions. This position requires close collaboration with other departments to enforce data governance rules, support data ownership, and ensure compliance. The role offers opportunities for continuous improvement in data collection, storage, and utilization, optimizing overall data quality management.

Required Skills

Education

Master's degree in Computer Science, Information Technology, Statistics, Business Administration, or a related field.

Experience

  • Professional experience in developing and implementing data quality strategies
  • Experience with modern data architectures and associated pipeline technologies (e.g., Data Mesh, Apache Kafka, ClickHouse)
  • Experience with testing methods for data pipelines, databases, and related system components
  • Experience in enforcing data governance practices and standards
  • Experience with compliance and information security standards (including ISO 27001)
  • Proven ability to establish effective working practices
  • Strong analytical and troubleshooting skills
  • Experience in stakeholder management

Languages

Not specified

Additional

  • Not specified