Data Engineer

Location: TORONTO, Ontario, Canada

Time Type: Full time

Job Description

What is the opportunity?​

The Next Best Action (NBA) Data Engineering team is seeking a passionate data engineer to develop and support large-scale data processing automated solutions. We are looking for a passionate complex problem solver who excels in a highly demanding fast-paced environment.

You will collaborate with various technology and business partners to solve complex problems, and develop automated data solutions to efficiently deliver timely data-driven personalized Next Best Actions to our clients. This role requires strong interpersonal, problem-solving skills as well as a demonstrated sense of urgency to respond to changing priorities. This is a highly technical role requiring hands-on experience with large scale data pipelines, process design, and programming (eg. python, unix scripts, Spark, SQL). You can work with high level concepts develop an efficient implementation.

What will you do?

• Build efficient and scalable ETL/ELT data pipelines with automated data quality controls to detect errors and anomalies
• Work in agile team of data engineers, developers and business stakeholders
• Collaborate and be platform subject matter expert with data scientists, process engineers, and business stakeholders on requirements gathering
• Develop efficient scripts and programs for converting various types of data into usable formats.
• Supporting project team to scale, monitor and operate data platforms for very high availability and performance.

What do you need to succeed?

Must-have:

• 2+ years Python, Apache Spark, Airflow, Hadoop, large scale databases and data
• processing, Unix scripting, SQL, RDBMS
• Experience with designing and developing large-scale data pipelines, working with Airflow, Helios, Github
• Education in software engineering, computer science, related background
• Strong data analysis and understanding of statistical methodology
• Strong interpersonal, relationship building, and influencing skills
• Passion for learning new technologies, ability to collaborate with partners

Nice to have:

• Experience in cloud technologies (AWS, Azure, GCP)
• Knowledge of machine learning and AI fundamentals
• Experience in CI/CD development environment
• Test and learn methodology

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

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOTorontoCanada37.5Full timePERSONAL & COMMERCIAL BANKINGRegularSalaried2026-05-222026-05-24

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.