Data Engineer – AB INITIO

Primary Skills: AB Initio, Data Management, Python, Shell Scripting, Teradata, Dataiku, Git, Ansible, Cloud, DevOps

Skill Level: Journeyman (Senior)

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Role Overview

Data Engineer responsible for developing, maintaining, and evolving enterprise Data Management solutions supporting the Business Intelligence and Data Management domain. The role focuses on administering and enhancing the organization's Data Management platform, implementing data governance capabilities, supporting metadata management, optimizing data processing workflows, and ensuring operational excellence across enterprise data ecosystems.

The ideal candidate combines strong data engineering expertise with DevOps knowledge and the ability to work across complex enterprise environments involving multiple data platforms and technologies.

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Key Responsibilities

• Maintain and enhance enterprise Data Management applications in both Build and Run activities
• Develop, configure, and support AB Initio Data Management solutions and associated modules
• Implement functional and technical enhancements from requirements analysis through production deployment
• Perform product upgrades and proactively manage technology lifecycle and application obsolescence
• Optimize data processing workflows and service performance
• Develop and maintain Shell and Python automation scripts
• Support metadata management, data governance, data quality, and access management solutions
• Maintain technical documentation and operational procedures
• Provide technical support to internal development teams and business users
• Collaborate with architecture, security, production, and data platform teams
• Participate in continuous improvement initiatives across the Data Management platform
• Contribute to DevOps practices, automation, and deployment activities
• Work across multiple BI and Data Management platforms as business priorities evolve

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Required Skills

• Strong experience with AB Initio or equivalent Data Management platforms (e.g., Collibra)
• Experience with enterprise Data Management and Data Governance solutions
• Strong Python scripting skills
• Experience with Shell scripting
• Knowledge of DevOps practices and automation
• Experience with Git version control
• Experience with Ansible
• Experience working in Cloud environments
• Experience with Teradata
• Knowledge of Dataiku
• Basic Java development knowledge
• Understanding of metadata management and data quality concepts
• Experience analyzing and optimizing application performance
• Ability to read and understand code across multiple programming languages
• Experience supporting production environments
• Experience maintaining technical documentation
• Familiarity with Agile methodologies and Jira
• Strong analytical, troubleshooting, and problem-solving skills

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Nice to Have

• Experience with Collibra or similar Data Governance platforms
• Experience with Tableau
• Experience with Mainframe, COBOL, or DB2 environments
• Experience with enterprise metadata repositories
• Knowledge of large-scale banking data platforms
• Experience working within hybrid Cloud environments
• Familiarity with CI/CD pipelines
• Experience working in Agile/Scrum teams
• French language skills

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Candidate Profile

Experienced Data Engineer with strong expertise in enterprise Data Management, automation, and data governance platforms. Comfortable supporting mission-critical production environments while designing and implementing scalable technical solutions.

Able to quickly learn new technologies, collaborate with cross-functional teams, and become a technical reference within the squad. Demonstrates strong ownership, customer focus, problem-solving abilities, and a proactive approach to continuous improvement in complex enterprise data environments.