we are seeking a Data Operations Engineer responsible for ensuring the smooth operation of data pipelines, workflows, and governance systems that support our Day-to-Day (D2D) Data Governance activities.
The ideal candidate has a strong background in Linux system administration, scripting, and data management, combined with hands-on experience in job scheduling and release management. This role requires close collaboration with data engineers, analysts, and business stakeholders to maintain data quality, integrity, and availability.
Function Description
Data Pipeline Operations
- Manage and maintain Linux-based data pipelines to ensure efficient and accurate data flows.
- Develop and maintain shell scripts to automate data processing, transformation, and loading.
- Collaborate with data engineers to optimize workflows and improve overall data quality.
Job Scheduling & Release Management
- Create, schedule, and manage jobs in Control-M to ensure timely processing and delivery.
- Coordinate with planning teams to execute releases with minimal operational disruption.
- Monitor execution, analyze logs, and troubleshoot job failures to maintain integrity.
Incident Management
- Detect, respond to, and resolve data-related incidents swiftly to reduce business impact.
- Perform root cause analysis, implementing corrective actions to avoid recurrence.
- Document incidents, resolutions, and lessons learned for continuous improvement.
Data Management
- Manage databases, run queries, and resolve connectivity issues.
- Work closely with data analysts and engineers to strengthen governance and quality.
- Develop and maintain data quality checks to guarantee accuracy and reliability.
Soft Skills
- Strong analytical problem-solving mindset.
- Clear communication with stakeholders to meet data needs.
- Flexibility and adaptability in a dynamic data environment.
Nice to Have
- Basic knowledge of Ab Initio development and data governance principles.
- Experience with Git or other version control systems.
- Familiarity with mainframe systems for data integration.
Language Requirements
- English: Fluent (mandatory)
- Dutch or French: At least one is mandatory; knowledge of the other is a plus
Work Conditions
- Travel: None
- Telework: 50% on-site, 50% remote
Required Experience / Knowledge
- Minimum 6 years of relevant experience in Data Analytics / Data Operations.
Technical (Mandatory)
- Strong background in Linux system administration, scripting, and data management.
- Experience in job scheduling (Control-M) and release management.
Technical (Preferable)
- Ab Initio development basics.
- Experience with Git.
- Knowledge of mainframe integration.
Business (Preferable)
- Banking industry experience.
Job Category: Data Engineer
Job Type: Hybrid
Job Location: Brussels
