Supervisor, Data Engineering

Job Summary

The Supervisor, Data Engineering leads the design, implementation, and maintenance of a scalable, reliable, and efficient data platform, collaborating with stakeholders to understand data needs and delivering solutions that drive business value. The role oversees the complete data lifecycle—from ingestion and storage to analysis and visualization—and provides hands‑on expertise, architectural guidance, and oversight to ensure successful project outcomes.

• Lead the development and implementation of efficient data solutions, tools, and technologies that meet business needs.
• Oversee the design, implementation, and maintenance of robust data pipelines to ensure data is processed efficiently, accurately, and reliably.
• Integrate data with artificial intelligence (AI) and machine learning technologies to support the development and evolution of AI applications.
• Develop and enforce data standards and frameworks to ensure consistent and reliable data solutions.
• Ensure data quality and integrity throughout the entire data lifecycle.
• Provide technical leadership, architectural guidance, and hands‑on support to project teams.
• Collaborate with IT and business stakeholders to promote data‑driven decision making and foster a data‑centric culture.
• Champion data governance practices ensuring alignment with information management and cybersecurity policies.
• Manage an ecosystem of partners to support data engineering projects, maintenance, and support activities.
• Provide technical expertise to the team, troubleshoot complex issues, and recommend solutions.
• Mentor and develop a team of data professionals, fostering a collaborative and high‑performing environment.
• Other related duties as required.

• Post‑secondary education in Computer Science, Data Engineering, or Information Technology.
• Minimum 5 years of experience in data engineering or a related field.
• Minimum 2 years in a supervisory or leadership role.
• Minimum 5 years of experience with cloud‑based data platforms, specifically AWS, GCP, or Oracle.
• Minimum 5 years of experience with Snowflake or equivalent data platforms.
• Minimum 5 years of experience with SQL.
• Minimum 3 years of experience with visualization tools (Tableau).
• Minimum 3 years of experience with programming languages such as Python, R, and related frameworks and libraries.
• Experience with data governance practices and alignment with information management and cybersecurity policies.
• Experience with ETL/ELT processes and data catalog.
• Strong problem‑solving abilities and critical thinking to tackle complex data challenges.
• Knowledge of artificial intelligence and machine learning techniques.
• Experience with integration technologies (Boomi, Oracle Data Integrator) considered an asset.
• Familiarity with vector databases considered an asset.
• Experience with Mongo
  
  DB, Postgre
  
  SQL, Oracle DB, SQL Server considered an asset.
• Experience with API development, deployment, and testing considered an asset.
• Strong computer skills; proficiency in office productivity and collaboration tools, preferably Google Workspace, particularly Google Sheets.
• English essential, both oral and written; bilingual (English/French) considered an asset.

Location:

Ottawa, ON

Hybrid Work Model:
Hybrid work is position‑specific; the details will be discussed with successful candidates.

Salary Range: $89,420.99 – $ per year, commensurate with qualifications.

Hydro Ottawa is committed to establishing a qualified workforce that reflects the diverse population it serves and we encourage applications from all qualified individuals. We are also committed to preventing and removing barriers to employment for people with disabilities, and we invite you to inform us should you have any accessibility or accommodation needs. Applicants must be legally entitled to work in Canada.