Sr. Data Engineer

RBC • Mississauga, ON

9d

About The Position

RBC Insurance, through its operating entities, provides a wide range of travel, life, health, home, auto, wealth and insurance products and solutions. It also offers creditor and business reinsurance services to both individual and group clients. RBC Insurance is one of the largest insurance companies within a Canadian bank and among the fastest growing insurance organizations in the country, employing more than 3,200 employees globally. This role offers the opportunity to design and implement data migration strategies, build and maintain robust ETL/ELT pipelines, develop and optimize complex SQL queries, ensure data integrity, collaborate with Data Architects and Analysts, enable self-service analytics, and implement data observability, monitoring, and logging mechanisms.

Requirements

• 2+ years of professional experience as a Data Engineer
• Technical Expertise: Strong experience in SQL, Python, and cloud-based ETL frameworks.
• Cloud Technologies: Hands-on experience with AWS, Azure, or Google Cloud (GCP).
• Data Warehousing: Proficiency in Snowflake, BigQuery, Redshift, or similar platforms.
• BI & Visualization: Experience in structuring data for Tableau or similar BI tools.
• ETL Tools: Experience with Apache Airflow, Talend, DBT, or similar ETL frameworks.
• Big Data Processing: Familiarity with Spark, Hadoop, or other big data technologies is a plus.
• Excellent organizational, multi-tasking and time management skills
• Strong Teamwork and Collaboration Skills
• Analytical Thinking

Nice To Haves

• Actuarial Knowledge and Insurance industry knowledge
• Knowledge of factors affecting Claims and Insurance Policies
• Other programming skills considered an asset

Responsibilities

• Design and implement data migration strategies for transitioning on-premise or legacy systems to a cloud environment.
• Build and maintain robust ETL/ELT pipelines to process structured and unstructured data.
• Develop and optimize complex SQL queries, stored procedures, and scripts for data processing.
• Ensure data integrity, quality, and governance throughout the transformation process.
• Collaborate with Data Architects and Analysts to define data models and transformations.
• Enable self-service analytics by structuring data effectively for end-users.
• Implement data observability, monitoring, and logging mechanisms.

Benefits

• A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans
• Competitive pay and high-earning potential
• All the tools, training, and team support you need to grow your business and career
• Flexible work/life balance options
• Sophisticated RBCI software tools to boost your productivity and grow your business

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed