Data Engineer

RBC; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading financial institution in Toronto is seeking a passionate data engineer to design and implement automated data processing solutions. The ideal candidate will have over 4 years of experience in Python, Apache Spark, and large-scale data pipelines. Responsibilities include building scalable ETL data pipelines and collaborating with business partners. A dynamic team environment offers opportunities for impactful work and professional growth.

Benefits

Work in a dynamic and collaborative team

Opportunities to do challenging work

Ability to make a difference and lasting impact

Qualifications

• 4+ years experience with data engineering and large-scale databases.
• Experience in designing and developing large-scale data pipelines.
• Strong understanding of statistical methodology and data analysis.

Responsibilities

• Design and build efficient and scalable ETL/ELT data pipelines.
• Collaborate with business stakeholders on requirements gathering.
• Support project teams to scale and operate data platforms.

Skills

Python

Apache Spark

SQL

Airflow

Hadoop

Unix scripting

Data analysis

Education

Education in software engineering or computer science

Tools

Github

Cloud technologies (AWS, Azure, GCP)

Job description

Job Description

What is the opportunity?

The Next Best Action (NBA) Data Engineering team is seeking a passionate and seasoned data engineer to design, implement and support large-scale data processing automated solutions. We are looking for a strategic thinker, and 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, design, 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 from high level concepts and provide guidance to working teams for efficient implementation.

What will you do?

• Design and 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:

• 4+ 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

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.

• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work

#LI-Post

#LI-PK

#TECHPJ

Job Skills

Apache Airflow, Apache Airflow, Apache Hadoop, Apache Spark, Cloud Technology, Critical Thinking, Data Administration, Data Analysis, Database Structures, Data Engineering, Data Modeling, Data Movement, Data Pipelines, Data Processing, Data Solutions, Design, Detail-Oriented, Emerging Technologies, Group Problem Solving, Information Capture, Large Scale Data Processing, Learning New Technologies, Problem Solving, Python (Programming Language), Scala (Programming Language) {+ 2 more}

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: PERSONAL & COMMERCIAL BANKING

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-02-04

Application Deadline: 2026-02-18

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At 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.

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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.