Data Engineer

RBC CENTRE, 155 WELLINGTON ST W:TORONTO, Canada

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Job Summary

Job Description

What is the opportunity?

As Data Engineer in Investor Services Data Engineering team, you will design, implement and support Data architecture best practices and processes within Investor Services across global organization in line with corporate vision. We are looking for strategic thinker, and passionate data management enthusiast to drive and support leadership team on executing data strategy.

As a member of a dynamic, fast paced team, this role brings strong data architecture and data engineering skills and leadership, effective written and verbal communication skills, a strong work ethic and a demonstrated capability to multi-task effectively.  This role requires strong interpersonal, organizational and problem-solving skills as well as a demonstrated sense of urgency to respond to changing priorities at times.  This is complemented by a positive attitude and a willingness to take accountability for results achieved.

What will you do?
This role will encompass an end to end system view from data sourcing, lineage, transformation and storage standpoint to support complex advanced analytics and data governance needs and require extensive collaboration with Business architecture, System architecture, Business SME and Data Stewards.

  • Build real-time data pipelines (inbound, outbound) through container-based solutions,

  • Integrate data with Cloud based platforms, publish data through APIs and Portal

  • Participate in Data curation requirements and support Data and Digital needs of business and technology stakeholders

  • Evaluate current state of data access control in regards to authentication, authorization and encryption practices across IS systems. Develop and support remediation strategy

  • Work in an agile team of Data Engineers, Developers and RBC business stakeholders.

  • Collaborate with data scientists, process engineers and business stakeholders on requirement gathering and assist with prescriptive and predictive analytics through consolidated data pipelines

Must Have:

  • 3+ years of hands on experience in data engineering and technologies:

  • Data Engineering: Python, PySpark, Databricks, Airflow, Kafka, MS SQL Server, Elastic search stack

  • Cloud and Containers: Azure (ADLS2, Azure Data bricks), Open shift, Docker

  • SQL/Database: Microsoft SQL Server, Azure SQL, Stored procedures

  • API: Node.JS, Apigee

  • Portal/analytics solutions: Angular

  • Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration

  • Strong knowledge of algorithms and data structures.

Nice to have:

  • Master’s degree in Computer science or equivalent experience

  • Automation/DevOps: Git Actions, Selenium and similar technologies

  • Source code control: GIT

  • Experience working in agile/SaFe environment

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, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

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

  • A world-class training program in financial services

  • Flexible work/life balance options

  • Opportunities to do challenging work

#LI-POST

Job Skills

Apache Airflow, Big Data, Big Data Management, Cloud Computing, Database Development, Databricks Platform, Data Engineering, Data Mining, Data Pipelines, Data Warehousing (DW), ETL Processing, Group Problem Solving, Microsoft Azure, Microsoft SQL Server, Quality Management, Requirements Analysis, Terraform

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-06-30

Application Deadline:

2025-07-28

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Airflow Angular APIs Architecture Azure Big Data Computer Science Databricks Data governance Data management Data Mining Data pipelines Data strategy Data Warehousing DevOps Docker Engineering ETL Git Kafka MS SQL Node.js Pipelines PySpark Python Security Selenium SQL Terraform

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Team events

Region: North America
Country: Canada

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