Data Engineer

• Execute end‑to‑end Enterprise Business Intelligence and Data Engineering initiatives, including requirement analysis, BI specification development, data modeling, solution design, deployment, and post‑production support.
• Serve as a technical consultant and facilitator between cross‑functional teams, ensuring effective communication and alignment among business units, project teams, and technical stakeholders.
• Perform root‑cause analysis and drive timely resolution of production issues, ensuring minimal disruption to BI processes and data platforms.
• Support both pre‑production and production data infrastructure environments, ensuring stability, performance, and adherence to operational standards.
• Participate in planning, preparation, and execution of periodic software releases, ensuring smooth deployment of enhancements, patches, and new features.
• Collaborate closely with project teams, business stakeholders, and leadership, translating business needs into scalable and maintainable data solutions.
• Coordinate with internal and external partners, such as vendors, integration teams, and cloud service providers, to ensure seamless project delivery and system operations.
• Conduct detailed requirements analysis and documentation, ensuring clarity, completeness, and alignment with enterprise architecture guidelines.
• Execute assigned project tasks and deliverables, contributing to successful completion of work packages within scope, timeline, and quality expectations.
• Perform advanced data analysis, data profiling, and validation to support data modeling, quality assessments, and integration design.
• Support the program manager in planning, coordination, and delivery of the overall Enterprise Business Intelligence program, ensuring alignment with strategic objectives.
• Ensure adherence to enterprise quality standards, including coding best practices, documentation, testing, and data governance policies.
• Contribute to Master Data Management (MDM) initiatives, supporting data quality, standardization, and stewardship processes across the organization.

Qualifications: 

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related technical discipline.
• 5–10 years of experience working in data engineering, business intelligence, or analytics-focused roles within complex enterprise environments.
• Proven experience delivering and supporting Business Intelligence, Data Warehouse, and Data Integration solutions at scale.
• Experience working in global or multinational environments is an asset.
  • Understanding of manufacturing and sales business processes is considered beneficial.