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Data Engineer - Proficient

RBC

RBC

Data Science
Toronto, ON, Canada
Posted on Aug 23, 2025

Job Description

What is the opportunity?

RBC’s Borealis are looking to expand our data ingestion platform team. You’ll be working as part of a team to build automation solutions for data ingestion

from various sources into internal and external data lakes for terabytes of data.

What will you do?

Work within an Agile product team to design, develop and maintain data ingestion flows and evolve the platform to orchestrate them.

Contribute towards the creation of intuitive, robust, and reusable back-end components using modern frameworks.

Gather functional requirements and translate them into technical specifications. This includes interfacing with other engineers, project managers,

business analysts and end users.

Collaborate with other team members on resolving technical issues, improving current products and developing new features.

What do you need to succeed?

Be a creative problem solver that can develop a plan, take ownership and deliver solutions

A team player, technical advocate, keen to detail out and share ideas with your team

An exceptional communicator able to articulate technical issues in plain language

You keep up to date on back-end development trends

Understand web/application security and the importance of data privacy

Bring new ideas and solutions to the team to help solve our challenges

Must-Have:

  • Hands-on experience with programming languages: Python, Java
  • Hands-on experience with relational databases: Postgres, MySQL or SQL Server
  • Hands-on experience with at least one web application frameworks, like: FastAPI, Flask, SpringBoot
  • Experience with building/using REST APIs and designing microservices
  • Basic development work on Front-end with at least one framework out of: Angular, Vue, React
  • Basic understanding of JavaScript, TypeScript

Nice To Have:

  • Experience with Big Data technologies used for ETL: Spark, Yarn, Hive, Hadoop
  • Experience with Scala programming language
  • Experience with workflow management tools like: Apache Airflow
  • Experience with Continuous Integration tools - Jenkins, GitHub, Automated Testing tools, Git, or similar tools.
  • Experience with Docker/Kubernetes/Containers

What’s in it for you?

• Work and learn latest technologies in Big Data, Containers-based Micro-services development

• Work on impactful project for the organization

• 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

• Work in a dynamic, collaborative, progressive, and high-performing team

• Flexible work/life balance option

Job Skills

Apache Airflow, Apache Spark, Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Python (Programming Language), Quality Management, Requirements Analysis, Scala (Programming Language)

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:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-08-22

Application Deadline:

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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