Job Description

What is the opportunity?

Supports the development and maintenance of scalable data stores that supply big data in forms needed for business analysis. Applies complete knowledge, skills, and practices to perform assignments. Data Engineer on the Insurance data Lake Team in Technology & Operations at the Royal Bank of Canada?

RBC`s Insurance data lake is responsible for Maintaining Insurance Data Lake the feeds into and out of Insurance data lake support for critical business and risk analytics, business reporting and Regulatory Reporting needs. Insurance data lake is a Large diverse environment utilizing Various platforms like Big Data, Cloudera, Snowflake, Unix, Windows, SQL Server, Mainframe, IBM Datastage etc. RBCI IDL team a young energetic, dynamic, collaborative, progressive and highly performing team of individuals who are highly talented and willing to share and work together.

What will you do?

Our team is looking for a data engineer who is constantly thinking outside the box, ready to dive deep into the smallest details, is passionate about contributing to the successful delivery of his responsibilities. The Insurance Data Lake team utilizes a diverse spectrum of technical environments Unix/Windows/Data lake/Mainframe… scripting in JCL, PowerShell, bat. Java, Spark, Scala, SQL, Unix Shel. To IBM Web sphere DataStage coding options to RBC’s inhouse IDP data ingestion tool.

• Creating software for retrieving, parsing and processing structured and unstructured data.
• Defining and building scalable ETL/ELT workflows for reporting and analytics.
• Supporting project team to scale, monitor and operate data platforms for very high availability and performance.
• Developing scripts and programs for converting various types of data into usable formats.

What do you need to succeed?

Must-have

• Excellent interpersonal and highly developed communication skills.
• Creative and analytical thinker who is self-driven and capable of working in a fast-paced environment.
• IT Standards, Methodologies, SDLC, Information Security & audit requirements.
• Strong MS Office skills – Word, Outlook, Excel and PowerPoint
• Understanding of Structured query language like SQL is a must.
• 2+ Years of Experience in building Datastage Jobs.
• Hands-on experience in Spark/Scala/Python (Any Language) to write data transformation logic.
• Should have good knowledge of writing complex SQL logic with Joins and windowing operations. Having experience in Cloud computing it's an Add-on.
• Should have good knowledge of scripting languages - Ex: Shell script, Python, PowerShell.
• Should have hands-on experience in scheduling data pipelines for automation.
• Should have basic knowledge of data security / encryption in data lake.
• Must be willing to learn.

Nice to Have:

• Knowledge of Mainframe JCL is a plus.
• Knowledge of Git Hub or other source code management tool is a plus.
• Knowledge of IBM WebSphere Datastage is a plus.
• Knowledge of Reporting Tools like Websphere and Trino/Tableau is a plus.
• Knowledge of KAFKA.

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
• Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients.
• Access to a variety of job opportunities across business and geographies.

#LI-Post

#LI-PK

#TECHPJ

Job Skills

Analytical Thinking, Cloud Computing, Communication, Creativity, Database Development, Data Ingestion, Data Transformation, ETL Processing, GitHub, Group Problem Solving, IBM InfoSphere DataStage, Interpersonal Relationships, Java, Languages (Inactive), Python (Programming Language), Python for Data Analysis, Quality Management, Reporting Tools, Requirements Analysis, Scala (Programming Language), Shell Scripting, Source Code Management, Teamwork, Unix

Additional Job Details

Address:

MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA

City:

Mississauga

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

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

I****nclusion 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.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

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.

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.