Senior Data & Analytics Engineer
Top Benefits
About the role
What is the opportunity? You'll join the GRM Portfolio Risk Oversight team, which provides independent, effective monitoring, control, and communication on material risks for Business Financial Services (BFS). As a Senior Data & Analytics Engineer, you'll contribute to BFS risk oversight strategies by delivering high quality risk data assets and supporting our open-source data infrastructure. Success in this role means developing strong relationships with business leaders and supporting decision-making through custom analytics and continuous evolution of our Analytics models. Our best-in-class analytics stack requires ongoing refinement to provide business users with relevant, timely self-serve analytics capabilities.
As a hands-on practitioner, you will ensure data is accurately tracked, maintained, and analyzed to optimize processes and support business objectives. You will design, build, and maintain our open-source analytics stack, creating reliable data pipelines and workflows that drive analytics initiatives across the team. The Senior Data & Analytics Engineer will be instrumental in supporting data-driven decisions, risk evaluation, and automation efforts. You will work with technologies such as Python, SQL, Apache Airflow, JupyterHub, Docker, Trino, CDP (Hadoop), Spark, OCP, GitHub Actions, and Red Hat Enterprise Linux (RHEL), ensuring data pipelines are robust, well-documented, and validated for accuracy and completeness.
What will you do?
- Develop and maintain our open-source Analytics stack infrastructure
- Assist in maintaining enterprise data solutions across platforms, including RBC’s data lake and databases.
- Design, deploy, and automate data pipelines while enhancing our data engineering architecture
- Create software for retrieving, parsing, and processing structured and unstructured data
- Define and build scalable ETL/ELT workflows for reporting and analytics
- Support the project team to scale, monitor, and operate data platforms for very high availability and performance
- Create and implement data quality frameworks ensuring completeness, accuracy, and integrity
- Establish systematic data validation processes to ensure reporting and analytics accuracy
What do you need to succeed? Must have:
- Bachelor's degree in Computer Science, Information Systems, Statistics, or related field
- Proven experience in data/analytics engineering, including designing and optimizing data pipelines, DB schemas, ETL processes, and data warehousing.
- 3+ years' experience in data engineering using Python and Bash, including data ingestion from various formats, API data acquisition, and data processing with libraries like NumPy and Pandas
- Strong understanding of Git-based workflows and GitHub, with the ability to establish repository standards, branching strategies and automation pipelines
- Experience implementing and supporting modern data stack technologies
- Advanced SQL skills with ability to write complex queries for extracting and integrating data from multiple sources
- Strong background in data processing and transformation technologies
- Development experience with open-source frameworks and tools
- Experience building data pipelines with Apache Airflow
- Experience working with RHEL (Red Hat Enterprise Linux)
Nice-to-have:
- Experience in Financial Services, especially Business Financial Services
- Knowledge of data governance, data quality, and data security
- Strong understanding of Credit Risk Management
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
- Opportunities to do challenging work
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:
ROYAL BANK PLAZA, 200 BAY ST:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
GROUP RISK MANAGEMENT
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-08-13
Application Deadline:
2025-09-22
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.
Senior Data & Analytics Engineer
Top Benefits
About the role
What is the opportunity? You'll join the GRM Portfolio Risk Oversight team, which provides independent, effective monitoring, control, and communication on material risks for Business Financial Services (BFS). As a Senior Data & Analytics Engineer, you'll contribute to BFS risk oversight strategies by delivering high quality risk data assets and supporting our open-source data infrastructure. Success in this role means developing strong relationships with business leaders and supporting decision-making through custom analytics and continuous evolution of our Analytics models. Our best-in-class analytics stack requires ongoing refinement to provide business users with relevant, timely self-serve analytics capabilities.
As a hands-on practitioner, you will ensure data is accurately tracked, maintained, and analyzed to optimize processes and support business objectives. You will design, build, and maintain our open-source analytics stack, creating reliable data pipelines and workflows that drive analytics initiatives across the team. The Senior Data & Analytics Engineer will be instrumental in supporting data-driven decisions, risk evaluation, and automation efforts. You will work with technologies such as Python, SQL, Apache Airflow, JupyterHub, Docker, Trino, CDP (Hadoop), Spark, OCP, GitHub Actions, and Red Hat Enterprise Linux (RHEL), ensuring data pipelines are robust, well-documented, and validated for accuracy and completeness.
What will you do?
- Develop and maintain our open-source Analytics stack infrastructure
- Assist in maintaining enterprise data solutions across platforms, including RBC’s data lake and databases.
- Design, deploy, and automate data pipelines while enhancing our data engineering architecture
- Create software for retrieving, parsing, and processing structured and unstructured data
- Define and build scalable ETL/ELT workflows for reporting and analytics
- Support the project team to scale, monitor, and operate data platforms for very high availability and performance
- Create and implement data quality frameworks ensuring completeness, accuracy, and integrity
- Establish systematic data validation processes to ensure reporting and analytics accuracy
What do you need to succeed? Must have:
- Bachelor's degree in Computer Science, Information Systems, Statistics, or related field
- Proven experience in data/analytics engineering, including designing and optimizing data pipelines, DB schemas, ETL processes, and data warehousing.
- 3+ years' experience in data engineering using Python and Bash, including data ingestion from various formats, API data acquisition, and data processing with libraries like NumPy and Pandas
- Strong understanding of Git-based workflows and GitHub, with the ability to establish repository standards, branching strategies and automation pipelines
- Experience implementing and supporting modern data stack technologies
- Advanced SQL skills with ability to write complex queries for extracting and integrating data from multiple sources
- Strong background in data processing and transformation technologies
- Development experience with open-source frameworks and tools
- Experience building data pipelines with Apache Airflow
- Experience working with RHEL (Red Hat Enterprise Linux)
Nice-to-have:
- Experience in Financial Services, especially Business Financial Services
- Knowledge of data governance, data quality, and data security
- Strong understanding of Credit Risk Management
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
- Opportunities to do challenging work
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:
ROYAL BANK PLAZA, 200 BAY ST:TORONTO
City:
Toronto
Country:
Canada
Work hours/week:
37.5
Employment Type:
Full time
Platform:
GROUP RISK MANAGEMENT
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-08-13
Application Deadline:
2025-09-22
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.