Senior Data Engineer at Royal Bank of Canada

Mississauga, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

11 Sep, 26

Salary

0.0

Posted On

13 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Airflow, Kafka, MS SQL Server, Elasticsearch, Azure, Databricks, OpenShift, Docker, Kubernetes, Node.JS, Angular, CI/CD, Snowflake, Data Lakehouse, API Development

Industry

Financial Services

Description

Job Description What is the opportunity? This is an opportunity to work at RBC Insurance Active Data Platform team with a group of technology professionals dedicated to deliver solutions to Insurance business and clients. We are all in with Agile development, DevOps, Open Source, Software as a Service (SaaS) and modern tools and processes. You will have an opportunity to make a real difference by working on some impactful and meaningful projects. We are looking for an enthusiastic and skilled Data Engineer to join our Data and Digital Transformation Squad, work on the development and deployment of cutting-edge cloud data lakehouse platform with Snowflake at the core, drive innovation, and collaborate with cross-functional teams to drive business growth and improvement. The candidate will have a strong background in data managements and algorithms, software development and leadership, with a proven track record of delivering high-quality solutions that meet business needs. The person will collaborate closely with team members under Agile Squad including product owners, Data Engineers, Designers, Quality Engineers and other stakeholders. The candidate posts deep understanding of data management principles, modern data stack, cloud computing and ability to apply them in practical, business-focused context. Partners across IT and with assigned business line(s) to assess, research, and analyze business, technical and system needs in order to resolve business systems issues. Recommends technology solutions that meet sponsor / stakeholder needs. Acts as primary IT liaison with multiple interfacing applications, third party vendors, IT Executives, and/or Project Managers. Our applications are used by RBC staff and clients making your contributions highly impactful and visible, directly contributing to the success of RBC. We deliver digitally enabled applications that are both internal and internet facing. We build Cloud Data Lakehouse, stable web, and back-end applications which are resilient, scalable and high performance that avoids failure and focused on delivering best client experience. We continuously update our tech skills and upgrade our platforms to match industry standards. 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 Work in an agile team of Data Engineers, Developers and RBC business stakeholders. Streamline Pipeline Releases: build automated CI/CD pipelines for application lifecycle management, ensuring efficient testing, versioning, and deployment of new features or updates. Maintain and Monitor production applications: participate in SRE setup to support end-to-end application in production. Ready to provide after hour support on need basis Document and Share Knowledge: maintain comprehensive documentation of applications, pipelines, and processes. Enhance Operational Efficiency: keep software engineering practice in mind, build products that can be maintain with least incidents, maintain metrics and monitoring to meet Service and Operational Level Agreements. Emerging Technology: stay up-to-date with the latest advancements in machine learning and related emerging technologies, share knowledges with teams and apply the knowledge to improve existing systems and develop new ones. What do you need to succeed? Must Have Data Engineering: Python, Airflow, Kafka, MS SQL Server, Elastic search stack Cloud and Containers: Azure (ADLS2, Azure Data bricks), Open shift, Docker SQL/Database: DB2, 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. Strong understanding of software development principles, including design patterns, testing, and deployment. Experience with DevOps practices such as CI/CD, experience with containerization using Docker and Kubernetes. Strong understanding of application implementation requirements, including risk, privacy, and compliance. Excellent communication skills with the ability to work effectively with cross-functional teams. Nice to Have Adaptability, Critical thinking and growing mindset Management and collaboration skills, Verbal and written communication skills Team contributor and care about team members 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 Opportunities to take on progressively greater accountabilities Opportunities to building close relationships with clients Access to a variety of job opportunities across business and geographies. #LI-Post #LI-PK #TECHPJ Job Skills Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis 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: 2026-02-03 Application Deadline: 2026-06-30 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.

Responsibilities

Develop and deploy a cloud data lakehouse platform using Snowflake and build real-time data pipelines through container-based solutions. Collaborate with cross-functional teams to streamline pipeline releases via CI/CD and maintain production applications through SRE practices.