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Lead Data Engineer driving scalable data pipelines and analytics at RBC in Toronto.
Build, automate, and govern data infrastructure with Python, Scala, Spark, and AWS.
What is the opportunity?
The Lead Data Engineer is responsible for designing, building, and maintaining scalable data pipelines from various sources across RBC to create a unified view for analytics and reporting. You will work with distributed systems, cloud infrastructure, and modern data tooling to transform raw data into actionable business insights while ensuring data quality, governance, and performance at scale.
What will you do?
- Design, build, and maintain scalable and efficient data pipelines to collect, process, and transform data from various sources into usable formats.
- Integrate diverse data sources and formats, including structured and unstructured data, APIs, and streaming data, to create a unified view for analysis and reporting.
- Identify and implement optimizations to improve data processing performance, scalability, and reliability.
- Ensuring data quality, reliability, governance, and performance at scale while collecting and generating data assets.
- Collaborate with other engineers and the business to deliver solutions that meet functional and non-functional requirements and drive business value.
- Automate workflows to minimize manual intervention and enhance overall productivity.
- Engage with stakeholders from the business to collect and document their requirements.
- Ensure the smooth operation of daily production tasks and promptly address any failures.
- Work in an agile methodology and participate all ritual such as standups and planning
What do you need to succeed?
Must have Bachelor’s degree in Computer Science, Software Engineering, or a related field, with 3+ years of professional experience as a data or software engineer. Proficiency in Python, Scala, Java and SQL with hands-on experience using modern data tooling (e.g., Hadoop, Spark, Airflow, DBT, etc.). Strong foundation in both data and software engineering, designing and building scalable data pipelines and ML-ready datasets in hybrid environments spanning on-prem infrastructure and public cloud platforms (i.e. AWS). Experience building or enabling AI-driven automation (e.g., agents, workflow orchestration, or decision engines) that reduces manual effort. Experience with DevOps and CI/CD tooling such as GitHub Actions to automate testing, builds, and deployments for data and ML pipelines. Excellent collaboration and communication skills, with the ability to translate complex technical ideas into practical, business-focused solutions. Proven analytical, communication and presentation skills. Exceptional problem-solving skills and ability to conceptualize strategy. Attention to detail, organization, ability to multitask and time management is critical
Nice-to-have:
- Experience in financial services industry
- Knowledge of agentic AI systems using LLM frameworks (claude-sonnet, gpt), open-source tools, and cloud technologies
- Experience in working on AWS
- Experience developing real-time Kafka consumers in java
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
Job Skills
Aprendizaje activo, Integraciones de aplicaciones, Metodología ágil, Orientado al detalle, Resolución de problemas en grupo, Salesforce (Software), Trabajo de diseño
Additional Job Details
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO City: Toronto Country: Canadá Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-05-11 Application Deadline: 2026-08-31 Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
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.