What's the opportunity?

We're looking for an experienced Data Engineer who will bring focus and subject-matter expertise around designing and building robust, distributed, and scalable data applications in a real-time and big data context. This is a unique opportunity to grow in the world of modern data engineering and work with a team of passionate individuals committed to the mission of delivering cutting-edge data solutions to the enterprise.

At RBC Borealis, you'll be joining a team focused on building cutting-edge data applications that provide a centralized view of all interactions and empower the enterprise with real-time decisioning capabilities. You will support existing platforms while helping develop next-generation data functionality that drives impact for our clients across the bank. You can find out more about us at rbcborealis.com.

What will you do?

• Developing Java based solutions to solve complex problems using real-time data and historical data sets.
• Deploying data processes, pipelines, and algorithms to RBC Infrastructure.
• Responsible for every step of the data process from data ingestion, management, architecture, transformation, and integration.
• Providing support to existing applications in Production, focusing on timely resolution of issues and ensuring smooth running of all applications.

What do you need to succeed?

• Strong and relevant experience designing and implementing data intensive real-time systems.
• Strong software development experience with tech stack: Java, Kafka, NiFi, Flink, DBT, Kubernetes, Hive.
• Working with building and maintaining DevOps pipeline (GitOps) and orchestration tools such as Airflow, Dagster, Stonebranch.
• Hands-on experience building and deploying hybrid environments on-prem and major cloud environments, such as AWS and Azure.
• Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
• Experience in building agentic workflows is a plus.
• Attention to detail with strong time management and project planning skills.
• Excellent interpersonal and communication skills including presentation and conflict resolution.
• Experience in financial services with a high-level understanding of the Banking domain is a plus.

What's in it for you?

• Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
• Leaders who support your development through coaching and managing opportunities;
• Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

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Job Skills

Agentic AI, Agentic AI, Amazon Web Services (AWS), Apache Airflow, Apache Flink, Apache Hive, Apache Kafka, Apache NiFi, Apache Spark, Big Data Management, Cloud Computing, Database Development, Data Mining, Dynatrace APM, Elastic Logstash, ElasticSearch, ETL Processing, Grafana, Group Problem Solving, Java (Programming Language), Kubernetes, LangChain (FrameWork), Microsoft Azure, PostgreSQL, Prometheus (Software) {+ 4 more}

Additional Job Details

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOTorontoCanada37.5Full timeTECHNOLOGY AND OPERATIONSRegularSalaried2026-06-232026-07-03

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.

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.