Senior Data Engineer

Vector Institute; Toronto; On-site; CAD 75,000 - 95,000; Full time

Job summary

A leading Canadian bank is seeking a talented Data Engineer based in Toronto. In this role, you will focus on data engineering tasks and contribute to machine learning projects. The ideal candidate will have a strong background in data pipelines, optimization, and Python programming. This position offers competitive compensation and opportunities for career growth in a collaborative environment.

Benefits

Comprehensive Total Rewards Program

Flexible benefits

Development coaching

Qualifications

• Proven experience in data engineering, including designing and optimizing data pipelines.
• Strong proficiency in Python and experience with SQL and NoSQL databases.
• Familiarity with cloud platforms and big data technologies.

Responsibilities

• Focus on data engineering tasks while contributing to analytics and machine learning.
• Design and optimize data pipelines and data warehousing solutions.

Skills

Data Engineering

Python

ETL Processes

SQL

NoSQL

Git

Cloud Platforms

Education

Bachelor’s degree in Computer Science or related field

Tools

AWS

Hadoop

Spark

Docker

Kubernetes

Job description

Job Summary

We are seeking a talented and enthusiastic Data Engineer to join RBCx. In this role, you will primarily focus on data engineering tasks while also contributing to machine learning projects in collaboration with the analytics and the tech team. The ideal candidate is a developer with a strong interest in enabling analytics and machine learning, while passionate about leveraging data to drive insights and innovation.

About RBCx

RBCx pursues big, bold ideas and leverages RBC’s extensive experience, networks, and capital to help shape what’s next. Our four pillars – Banking, Capital, Platform, and Ventures – combine to support tech businesses of all sizes and stages, making us the go-to backer of Canadian innovation. Our people are our most valuable assets, so we invest deeply in ensuring RBCx isn’t just a place to work but a place to belong.

Must Haves

• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or related field.
• Proven experience in data engineering, including designing and optimizing data pipelines, DB schemas, ETL processes, and data warehousing.
• Strong proficiency in Python (pandas, SQLAlchemy, psycopg2, API handling, etc.), and experience with SQL and NoSQL databases.
• Strong understanding of Git-based workflows and GitHub, with the ability to establish repository standards, branching strategies and automation pipelines.
• Familiarity with cloud platforms (AWS) and big data technologies (Hadoop, Spark) and Airflow.
• Strong understanding of software engineering principles and best practices for building scalable, maintainable, and performant systems.

Nice to Have

• Advanced degree (Master’s or PhD) in Software Engineering, Computer Science, Statistics, or related field.
• Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools.
• Knowledge of distributed computing and parallel processing techniques.
• Experience with DevOps practices and CI/CD pipelines (e.g., Terraform).
• Contributions to open-source projects or participation in relevant communities.
• Experience working with entrepreneurs.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and knowledge of different ML models and algorithms.
• Excellent problem-solving skills and ability to work independently and collaboratively to ensure regulatory and compliance requirements are met.
• Effective communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.
• Familiarity with JavaScript frameworks like Node.js, TypeScript, etc. would be a benefit.

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 and competitive compensation.

Leaders who support your development through coaching and managing opportunities.

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

Opportunities to do challenging work.

RBCx.

Job Skills

Big Data, Big Data Management, Big Data Technologies, Critical Thinking, Data Administration, Data Engineering, Data Governance, Data Movement, Data Pipelines, Data Warehousing (DW), Information Capture, Knowledge Organization, Long Term Planning, Machine Learning, Python (Programming Language), Repository Tools

Additional Job Details

Address: 20 KING ST 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: 2025-02-07

Application Deadline: 2025-06-20

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. 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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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.

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