Senior Data Engineer
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Senior Data Engineer
Location
TORONTO, Ontario, Canada
Experience
Senior
Posted
Jul 7, 2026
Apply by
July 31, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
Job Description
**Job Description**
**What is the opportunity?**
The HR/BMCC Innovation Data team serves as a horizontal function, delivering business systems analysis and product management expertise to HR/BMCC business and IT partners. The Senior Data Engineer plays a pivotal role in helping develop and build data-driven solutions to serve our clients better. We are creating a data platform product (data hub) for HR, and this role will contribute with other Data Engineers and leads for the planning, development, and deployment of the data hub.
**What will you do?**
- Engineer end-to-end data solutions on both on-prem and cloud infrastructure
- Define and build scalable ETL/ELT workflows for reporting and analytics
- Build solutions to scale, monitor, and operate data platforms for very high availability and performance
- Leverage best practices in continuous integration and delivery, with a strong commitment to leading with quality
- Consume and implement RESTful APIs and microservices to enable seamless data integration across enterprise systems
- Help identify and evaluate potential new tools/platforms that mature RBC's AIOps capabilities
- Mentor and guide junior engineers through code reviews, ensuring delivery of clean, well-tested, and performant software
- Collaborate effectively with Developers, functional leads, the product manager, and Business in a fast-paced agile environment to deliver high-quality solutions
- Translate complex technical requirements into practical, business-focused solutions with strategic thinking and attention to detail
**What do you need to succeed?**
**Must-have**
- Bachelor’s degree in computer science, Software Engineering, or equivalent; or diploma in related technical discipline
- 5-8 years with SDLC frameworks, database technologies, advanced SQL, data transformation, and data modeling principles
- Proficiency in Python and SQL with hands-on experience in ETL tools eg. DBT, Spark
- Experience with Snowflake for architecture design, warehouse development, schema optimization, security, and performance tuning
- 5+ years with cloud-based ETL platforms
- Expertise in dimensional, relational, and semantic modeling with data lineage documentation
- Cloud infrastructure knowledge (Azure, AWS, or GCP) including Kubernetes, Docker, and serverless computing
- Experience in DevOps (CI/CD) and version control (Git)
- RESTful API design and microservices architecture experience
- Strong analytical and problem-solving abilities with exceptional strategic thinking
- Advanced communication and collaboration skills, with the ability to translate complex technical ideas into practical, business-focused solutions
- Exceptional attention to detail, organization, ability to multitask, and strong time management skills
**Nice-to-have**
- Experience in HR domain
- Knowledge of agentic AI systems using LLM frameworks, open-source tools, and cloud technologies for workflow automation and decision engines
- Experience with Databricks or advanced cloud data platforms
- Experience with LLM API calling, RAG, and VectorDB
- Full-stack development experience (Java) with small to large-scale applications
- Experience with R or Scala for data processing
**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
- 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 take on progressively greater accountabilities
- Access to a variety of job opportunities across business and geographies
#LI-POST
#TECHPJ
**Job Skills**
Agile Software Development, Architecture Design Patterns, Artificial Intelligence (AI), Artificial Intelligence Technologies, Big Data Management, Cloud Computing, Data Analysis, Data Architecture Development, Database Development, Data Lineage, Data Mining, Data Modeling, Data Pipelines, Data Science, Data Warehousing (DW), ETL Pipelines, ETL Processing, ETL Workflows, Kubernetes, Requirements Analysis, Software Product Management
**Additional Job Details**
**Address:**20 KING ST W:TORONTO**City:**Toronto**Country:**Canada**Work hours/week:**37.5**Employment Type:**Full time**Platform:**TECHNOLOGY AND OPERATIONS**Job Type:**Regular**Pay Type:**Salaried**Posted Date:**2026-06-05**Application Deadline:**2026-07-31
**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.
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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](https://jobs.rbc.com/ca/en).
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.
Key Responsibilities
- Engineer end-to-end data solutions on on-prem and cloud infrastructure
- Define and build scalable ETL/ELT workflows for reporting and analytics
- Build solutions to scale, monitor, and operate data platforms for high availability and performance
- Leverage best practices in continuous integration and delivery
- Consume and implement RESTful APIs and microservices for data integration
- Identify and evaluate new tools to mature AIOps capabilities
- Mentor and guide junior engineers through code reviews
- Collaborate with developers, product managers, and business stakeholders in an agile environment
- Translate complex technical requirements into practical, business-focused solutions
Requirements
- Bachelor’s degree in computer science
- Software Engineering
- or equivalent
- Diploma in related technical discipline
Skills Required
PythonSQLETL toolsDBTSparkSnowflakeAzureAWSGCPKubernetesDockerServerless computingDevOpsCI/CDGitRESTful API designMicroservices architectureDimensional modelingRelational modelingSemantic modelingData lineage documentationAnalytical abilitiesProblem-solvingStrategic thinkingCommunicationCollaborationAttention to detailOrganizationTime managementHR domain knowledgeAgentic AI systemsLLM frameworksDatabricksLLM API callingRAGVectorDBJavaRScala
Benefits
- Comprehensive Total Rewards Program
- Bonuses
- Flexible benefits
- Competitive compensation
- Commissions
- Stock
- Coaching and development opportunities
- World-class training program
- Flexible work/life balance options
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