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Added 15 mins ago
Systems Administrator, Information Technology - Full Time - Markham Stouffville Hospital
Oak Valley Health
Markham, ON
Full-time
Exchange/M365 E-mail and services such as SharePoint and Teams, etc...
Added 15 mins ago
Cost Specialist
Nova Scotia Power
Halifax, NS
Full-time
We are looking for a Cost Specialist to join our Major Projects team. Reporting to the Manager, Project Controls, you will support project estimating, forecasting, cost analysis, and…
Added 15 mins ago
Sr Mgr, Substation Reliability
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Halifax, NS
Full-time
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Added 15 mins ago
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Royal Bank of Canada

Manager, Data and Analytics Engineer

Toronto, ON, M9W 0A4, Canada

Job type: Full-time
Apply by: Oct 10, 2026
Experience: 3+ years of experience working with data, analytics or data engineering.
Posting language: English
Posted: Sep 24, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description

What is the opportunity?

As Manager, Data and Analytics Engineer, you are responsible for transforming how data is used to drive business insights, reporting and decision-making.

You will have the opportunity to work across data engineering, analytics and business teams to build reliable data pipelines and analytical datasets that make information faster, more accessible and easier to use.

This role is ideal for someone who enjoys solving problems with data - from improving the way data is collected and transformed, to automating processes and creating the foundation for better analytics and reporting.

What will you do?

Build and maintain ETL/ELT pipelines that bring together data from multiple sources.
Use Python and SQL to extract, transform, validate and manipulate data.
Investigate data issues, identify root causes and work with technology/source-system teams to resolve them.
Develop and maintain scheduled data workflows, including monitoring, testing and troubleshooting.
Create clean, reusable analytical datasets that support reporting, analytics and business decisions.
Implement data-quality checks and improve the accuracy, consistency and reliability of data.
Automate manual data and reporting processes to improve speed and efficiency.
Partner with analytics and business stakeholders to understand requirements and translate them into data solutions.

What do you need to succeed?

Must Have

3+ years of experience working with data, analytics or data engineering.
Strong Python skills, particularly for data manipulation and automation.
Experience with Pandas/Polars/PySpark or similar data-processing frameworks to work with large or complex data sets
Hands-on experience building or maintaining ETL/ELT pipelines, with experience in scheduling/orchestration tools and production data workflows.
Understanding data quality, testing, validation and troubleshooting.
Communicate effectively with both technical & business stakeholders and translate business requirements into practical data solutions.

Nice to Have

Experience with Tableau or other BI/reporting tools.
Experience with cloud data platforms or modern data architectures.
Experience in financial services, finance or accounting.
Exposure to machine learning, generative AI or agentic workflows.

Job Skills

Data Analytics, Data Automation, Data Engineering, Data Pipelines, Extract Transform Load (ETL), Pandas (Software), Python (Programming Language), Structured Query Language (SQL)

Additional Job Details

Address:

180 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-24

Application Deadline:

2026-10-10

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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Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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

The Manager, Data and Analytics Engineer will build and maintain ETL/ELT pipelines to transform data into actionable business insights. They will collaborate with cross-functional teams to automate processes, ensure data quality, and develop analytical datasets.

Requirements

Candidates must have at least 3 years of experience in data engineering or analytics with strong proficiency in Python and SQL. Experience with data processing frameworks and building production-level data workflows is essential for success in this role.

Skills

Data Engineering
Data Analytics
Python
SQL
ETL/ELT Pipelines
Data Pipelines
Pandas
Polars
PySpark
Data Automation
Data Quality
Troubleshooting
Tableau
Cloud Data Platforms
Machine Learning
Generative AI

Benefits

Inclusive workplace
Professional growth opportunities
Supportive environment

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Analytics
Python
SQL
ETL
ELT
Pandas
Polars
PySpark
Data Pipelines
Data Quality
Automation
Tableau
Cloud Data Platforms
Machine Learning
Generative AI
Financial Services
Accounting
Data Validation
Business Intelligence
Orchestration Tools
Data Workflows
Reporting
Stakeholder Management
Root Cause Analysis

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