Senior Data Engineer: Governance, AI Readiness & Analytics

AFIMAC Canada

London

On-site

CAD 139,000 - 166,000

Full time

6 days ago
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Benefits offered by this job

Health & dental benefits
Competitive salary
Employee Assistance Program
Perkopolis rewards
Career growth opportunities

Job summary

CarePartners seeks a Senior Data Engineer to lead governance, architecture, and integration of the enterprise data environment. You will drive data quality, security, and accessibility, partnering with clinical and operational teams to enable trusted information for decisions and AI readiness.

The role requires expertise in ETL/ELT, data modeling, and cloud data platforms, with strong communication and leadership to guide cross-functional stakeholders.

Qualifications

  • Bachelor's degree or equivalent practical experience in data engineering, informatics, or related field.
  • 7+ years in data roles including data engineering, analytics engineering, or data warehousing.
  • Strong SQL skills and experience with relational databases.
  • Experience building ETL/ELT pipelines for data warehouses or cloud platforms.
  • Proficiency in Python or similar data-processing language.

Responsibilities

  • Lead Data Governance framework with ownership, stewardship, quality, access, and lifecycle controls.
  • Design and maintain enterprise data platform and warehouse architecture.
  • Develop pipelines integrating clinical, financial, operational, HR, and external data.
  • Implement data quality measures and monitoring to ensure reliability.
  • Collaborate with leaders to enable analytics and AI readiness across the organization.

Skills

SQL
Data governance
Data architecture
ETL/ELT
Python
Data modeling
PHI/PII handling
Cloud platforms
Cross-team collaboration
Leadership

Education

Bachelor’s degree in data engineering or related field

Tools

Snowflake
Databricks
Azure Synapse
Power BI
Tableau

Job description

CarePartners seeks a Senior Data Engineer to lead governance, architecture, and integration of the enterprise data environment. You will drive data quality, security, and accessibility, partnering with clinical and operational teams to enable trusted information for decisions and AI readiness.

The role requires expertise in ETL/ELT, data modeling, and cloud data platforms, with strong communication and leadership to guide cross-functional stakeholders.

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