Senior Data Engineer

RBC; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading financial institution is seeking a talented Data Engineer to support innovative projects in data engineering and machine learning. This role involves working on data pipelines, collaborating with analytics teams, and utilizing cloud technologies to drive insights. Candidates should possess a strong background in Python and data engineering practices. Join RBCx to be part of a dynamic team that fosters growth, innovation, and collaboration.

Benefits

Comprehensive Total Rewards Program

Career development through coaching

Collaborative and dynamic work environment

Opportunities for challenging work

Qualifications

• Experience in designing and optimizing data pipelines and ETL processes.
• Strong proficiency in Python and SQL databases.
• Familiarity with cloud platforms like AWS and big data technologies.

Responsibilities

• Focus on data engineering tasks while contributing to machine learning projects.
• Design and optimize data pipelines and data warehousing solutions.
• Collaborate with analytics and tech teams to enable insights.

Skills

Python

Data Engineering

Machine Learning

Critical Thinking

Data Pipelines

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

AWS

Hadoop

Spark

Docker

Kubernetes

TensorFlow

Job description

Job Summary

Job Description

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.

We are seeking a talented and enthusiastic Data Engineer to join our team. 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

What would you need?

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.

Nice to Have:

• Familiarity with JavaScript frameworks like node.js, typescript, etc. would be a benefit

• 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

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. 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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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.