Top Benefits
About the role
Job Description
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
- Flexible work/life balance options
- Opportunities to do challenging work
#LI-POST
#TechPJ
Job Skills
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
Additional Job Details
Address:
RBC WATERPARK PLACE, 88 QUEENS QUAY 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:
2026-05-12
Application Deadline:
2026-05-15
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.
Join our Talent Community
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.
Not the right fit? Search for Python/AI Engineer jobs in Toronto, ON
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.
Similar Jobs
Top Benefits
About the role
Job Description
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
- Flexible work/life balance options
- Opportunities to do challenging work
#LI-POST
#TechPJ
Job Skills
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
Additional Job Details
Address:
RBC WATERPARK PLACE, 88 QUEENS QUAY 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:
2026-05-12
Application Deadline:
2026-05-15
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.
Join our Talent Community
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.
Not the right fit? Search for Python/AI Engineer jobs in Toronto, ON
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact.
La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais
Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social.