🛠 Tech Stack

💼 About This Role

You'll design and build data infrastructure and pipelines at Canada's largest mutual insurer following its merger with Beneva. You'll enable data-driven decision-making across the organization by ensuring data accessibility and accuracy. This role offers the chance to work with cutting-edge cloud and AI technologies in a supportive environment.

🎯 What You'll Do

• Design and implement robust data infrastructure and pipelines.
• Automate data operations, pipeline monitoring, and data integration.
• Optimize data pipelines for efficient data flow and performance.
• Implement data quality frameworks to ensure data reliability.

📋 Requirements

• Bachelor's or Master's degree in Computer Science or related field.
• 4-5 years of relevant data engineering experience.
• Strong knowledge of Azure Services (DevOps, Databricks, SQL Server, etc.).
• 2+ years of experience in ML engineering and MLOps.

✨ Nice to Have

• Azure certifications (Azure Data Engineer Associate).
• Databricks certifications (Data Engineer Professional).
• Experience with modern data transformation tools like dbt or Dataform.

🎁 Benefits & Perks

• 🏖️ Discretionary bonus program based on performance.
• 🏥 Extended health and dental coverage.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min

🚩 Heads Up

• Role title 'Data Engineer' but includes heavy ML engineering and MLOps responsibilities requiring 2+ years experience.
• Salary range is quite wide ($50k range) suggesting possible mismatch between expectations and compensation.