DataStage Developer

EDITX BV· Arr. de Bruxelles-Capitale/Arr. Brussel-Hoofdstad· EURES· δημοσιεύθηκε 14/07/2026
Απαραίτητα:AzureCloudDataSecurity

About this vacancy

As an Experienced DataStage Developer, you play a key role in maintaining and evolving a critical legacy data platform while supporting the organization's transition towards a modern cloud-based data ecosystem. You ensure the stability, performance, and continuity of existing DataStage solutions while contributing to migration initiatives towards Microsoft Azure and modern data platforms.

Your responsibilities include:

  • Maintaining, supporting, and enhancing existing IBM DataStage ETL workflows and data integration processes.
  • Performing impact analyses and implementing small to medium-sized changes to the legacy data platform.
  • Troubleshooting production issues and ensuring the reliability of data pipelines.
  • Collaborating with business users, analysts, and technical teams to deliver ongoing improvements.
  • Supporting the migration of data workloads from on-premises environments to Azure-based data platforms.
  • Assisting in the redesign and modernization of data integration processes and architectures.
  • Ensuring data quality, security, governance, and compliance standards are upheld.
  • Documenting existing solutions, enhancements, and migration activities.
  • Contributing to knowledge transfer and helping bridge the gap between legacy and cloud technologies.

What we expect from you

  • Minimum 5 years of experience as a DataStage Developer, ETL Developer, or in a similar data integration role.
  • Strong hands-on experience with IBM DataStage development, maintenance, and support.
  • Solid knowledge of ETL processes, data integration, data mapping, and data quality principles.
  • Strong SQL skills and experience working with relational databases.
  • Experience maintaining and enhancing legacy data platforms in enterprise environments.
  • Exposure to cloud technologies and data modernization initiatives.
  • Experience with Microsoft Azure data services is considered a strong plus.
  • Familiarity with modern data engineering concepts, data lakes, and cloud-based architectures is an advantage.
  • Strong analytical and problem-solving skills.
  • Ability to work effectively with both technical and business stakeholders.
  • Professional proficiency in French and English is mandatory.