WHAT IS THE OPPORTUNITY? We are looking for a

Data Engineering Tools Developer

to build internal tools, frameworks, and developer utilities that improve the productivity and reliability of our Data Engineering teams. This role focuses on

developing Python-based frameworks, Streamlit applications, and reusable engineering tools

that enable faster development, monitoring, and governance of enterprise data pipelines. You will work closely with

data engineers, platform engineers, and data architects

to standardize how data pipelines are built, tested, deployed, and monitored across the organization. The ideal candidate combines

strong Python development skills with experience in data engineering environments

and enjoys building platforms and tools that empower other engineers.

WHAT WILL YOU DO?

Design and build internal tools and frameworks that accelerate data pipeline development and deployment.

Develop Python libraries and reusable components for data ingestion, transformation, testing, and monitoring.

Build interactive developer tools and dashboards using Streamlit to simplify pipeline monitoring, troubleshooting, and data exploration.

Create frameworks for data validation, schema enforcement, and automated pipeline testing

Develop utilities that improve data pipeline observability, logging, and operational support

Collaborate with data engineers to standardize pipeline development patterns and best practices

Integrate tools with data orchestration platforms, CI/CD pipelines, and cloud data platforms

Build automation for data platform operations, metadata management, and pipeline governance





Support the adoption of data engineering best practices and engineering standards across the organization.

Troubleshoot and optimize tools to ensure performance, scalability, and reliability in production environments.

WHAT DO YOU NEED TO SUCCEED? Must have

Bachelor’s degree in Computer Science, Software Engineering, or related technical field

4–7 years of experience in software engineering or data engineering roles.

Strong proficiency in Python development

Experience building data pipelines and data processing frameworks

Experience developing internal engineering tools or reusable libraries

Experience with Streamlit or similar frameworks for building data tools and dashboards

Strong knowledge of SQL and working with large datasets

Experience with source control (Git), testing frameworks, and CI/CD pipelines

Experience working in Agile engineering environments

Nice-to-have

Experience with data orchestration tools such as Apache Airflow, Prefect, or Dagster.

Familiarity with modern data platforms such as Snowflake, Databricks, or cloud data lakes.

Experience with data transformation frameworks such as dbt.

Knowledge of data quality and data governance tooling

Experience working in financial services or banking environments





Familiarity with containerization technologies such as Docker

Design & Develop AI engineering using Cortex.

What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

Leaders who support your development through coaching and managing opportunities

Ability to make a difference and lasting impact

Work in a dynamic, collaborative, progressive, and high-performing team

A world-class training program in financial services

Adaptable work/life balance options

Opportunities to do challenging work

Job Skills Application Development, Application Integrations, Application Maintenance, Applications Architecture, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC), System Applications

Additional Job Details Address:

180 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-20

Application Deadline:

2026-08-31

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

#J-18808-Ljbffr

📌 Senior Python/AI Engineer (Winnipeg)
🏢 RBC
📍 Winnipeg