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Added 9 mins ago
Enrolment Services Advisor
University of British Columbia
Vancouver, BC · UBCV | Brock Hall (BRCK)
$7,158.42 to $10,292.25 CAD / month
Full-time
The Enrolment Service Advisor (ESA) is an advising specialist who is a highly visible representative of Enrolment Services (ES) and the University.
Added 9 mins ago
Enrolment Services Advisor
University of British Columbia
Vancouver, BC · UBCV | Brock Hall (BRCK)
$7,158.42 to $10,292.25 CAD / month
Full-time
The Enrolment Service Advisor (ESA) is an advising specialist who is a highly visible representative of Enrolment Services (ES) and the University.
Added 9 mins ago
Senior Specialist, Quality Improvement
Ontario Health
Toronto, ON
Full-time
Ongoing learning and career development opportunities designed to help you grow, advance, and thrive in your profession
Added 9 mins ago
GIS Specialist
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Saskatoon, SK
$87,500 to $110,000 CAD / year
Full-time
Eldorado Gold Saskatchewan | Foran (TSX:ELD) is seeking a GIS Specialist to join our growing McIlvenna Bay team. This is a full-time position based at our Saskatoon office working…
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Added 53 mins ago
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RBC

Senior Data Engineer

Vancouver, BC, Canada

Job type: Full-time
Apply by: Oct 29, 2026
Experience: 7–10+ years of professional experience in data engineering, ETL development, and enterprise data warehousing
Posting language: English
Posted: Sep 29, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description

WHAT IS THE OPPORTUNITY?

CNB (City National Bank), an RBC company, is modernizing its data architecture as a core part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this critical role, you will design end-to-end data solutions leveraging Informatica (PowerCenter/IDMC) and Snowflake, while driving our data modernization initiatives forward. You will blend traditional enterprise data warehousing concepts with modern cloud technologies, specifically leveraging Informatica (PowerCenter/IDMC) and Snowflake, while using Python for advanced scripting, customization, and automation using frameworks such as Django, FastAPI, or Flask, and proficiency in Unix/Linux scripting.

WHAT WILL YOU DO?

Design, build, and maintain robust batch and near-real-time ETL/ELT pipelines to ingest and transform data from diverse enterprise sources (APIs, databases, third-party systems) into Snowflake
Build and optimize complex data mappings, task flows, and transformations using Informatica Intelligent Cloud Services (IICS/IDMC) or PowerCenter
Manage and tune Snowflake environments, including workload management, query optimization, virtual warehouse sizing, and cost optimization
Develop custom Python components, reusable frameworks, and PySpark scripts for advanced processing and data validation
Implement dimensional data models, star/snowflake schemas, and Slowly Changing Dimensions (SCD Type 1 & Type 2) to support analytics requirements
Establish and maintain automated CI/CD deployment pipelines (Git-based) for database schemas, Python code, and Informatica assets
Design and implement automated data quality checks, reconciliation processes, audit controls, and end-to-end data lineage
Partner with architecture, business intelligence, and data science teams to translate complex requirements into scalable technical solutions; mentor junior engineers on best practices

WHAT DO YOU NEED TO SUCCEED?

Must Have:

7–10+ years of professional experience in data engineering, ETL development, and enterprise data warehousing
5+ years of hands-on development using Informatica PowerCenter or Informatica Cloud (IICS/IDMC)
5+ years of deep technical expertise in Snowflake, including SnowSQL, Snowpark (Python), and native cloud loading
Advanced proficiency in Python (including libraries like Pandas or PySpark) and expert-level SQL development (stored procedures, analytical functions, performance tuning).
Strong familiarity with cloud ecosystems such as AWS (S3, Lambda, Glue) or Microsoft Azure
Proven experience with version control systems (Git) and automated deployment tools (Azure DevOps, or GitHub Actions).
Strong problem-solving, analytical thinking, and excellent communication skills with the ability to collaborate across functions

Nice-to-Have:

Official certifications such as Snowflake Certified Core Engineer or Informatica Cloud Data Integration Specialist.
Experience with one of cloud platforms (AWS, Azure, or GCP)
Exposure to big data tools (Spark, Kafka, etc.)
Understanding of data security and compliance
Prior experience preparing and optimizing datasets for machine learning and AI initiatives.

WHAT'S IN IT FOR YOU?

A comprehensive Total Rewards Program including competitive compensation, bonuses, and flexible benefits
Leaders who invest in your development through coaching and career advancement opportunities
Ability to drive meaningful impact on RBC's data and technology strategy
Work with a dynamic, collaborative, high-performing team on enterprise-scale challenges
Opportunities to take on progressively greater accountabilities and technical leadership roles
Access to learning resources and career development across RBC's business

#TechPJ

Job Skills

Collaboration, Cross-Functional Teamwork, Data Analysis, Data Analytics, Data Architecture Development, Data Development, Data Governance, Data Management, Data Processing, ETL Processing, Quality Management

Additional Job Details

Address:

745 THURLOW ST:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-29

Application Deadline:

2026-10-29

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply About employer

More about this job

Responsibilities

Design and maintain scalable cloud-native ETL/ELT pipelines using Informatica and Snowflake to support enterprise data modernization. Collaborate with cross-functional teams to implement data quality checks, automated deployments, and complex data models.

Requirements

Requires 7-10+ years of professional experience in data engineering and enterprise data warehousing. Must possess deep technical expertise in Informatica, Snowflake, Python, and SQL development.

Skills

Data Engineering
Informatica
Snowflake
Python
ETL/ELT
SQL
PySpark
Data Modeling
CI/CD
Cloud Architecture
Unix/Linux
Data Quality
Data Lineage
Git
Analytical Thinking
Communication

Benefits

Competitive compensation
Bonuses
Flexible benefits
Career development opportunities
Coaching

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Informatica PowerCenter
IICS
IDMC
Snowflake
SnowSQL
Snowpark
Python
Pandas
PySpark
SQL
AWS
Azure
Git
CI/CD
Azure DevOps
GitHub Actions
ETL
ELT
Data Warehousing
Dimensional Modeling
SCD
Data Quality
Data Lineage
Unix
Linux
API
Cloud-native
Digital Transformation
Big Data

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