Senior Data Engineer

RBC; Vancouver; On-site; CAD 110,000 - 150,000; Full time

Job summary

RBC in Vancouver seeks a Senior Data Engineer to contribute to the Finance Data Platform, leveraging Airflow and Databricks to ingest and enrich financial datasets, including positional/trade, sub-ledger, and general-ledger balances.

You will collaborate with product owners and engineering teams, design scalable data solutions, ensure documentation and testing, and mentor peers. 5+ years in data engineering with Spark (Scala/Python), SQL, and big-data tools is required.

Qualifications

• 5+ years of data engineering experience with large-scale platforms.
• Strong Spark (Scala/Python) and Databricks experience.
• Experience with Hadoop/Hive ETL and SQL databases.
• Experience with Windows/Unix/Linux environments.
• Undergraduate degree in CS/Engineering or related field.
• Excellent communication and time management skills.

Responsibilities

• Collaborate with Product Owner and Development Lead to align solutions with business needs.
• Design and develop data pipelines, ensure robust testing and QA.
• Maintain design/development alignment with data architecture strategy.
• Mentor team members and provide knowledge transfer.

Skills

Big data management

Communication

Time management

Problem solving

Education

Bachelor's degree in computer science or engineering

Tools

Spark (Scala/Python)

Databricks

Airflow

DBT

Hadoop/Hive ETL

SQL (Oracle/PL-SQL or ANSI)

Windows/Unix/Linux OS

Job description

What is the opportunity?

In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the central repository of finance related datasets, with capabilities including the ingestion of positional/trade, sub-ledger, general-ledger trial balances, and reference data; as well as data enrichment, adjustment, reconciliation, analytics and reporting functions.

Job Description

What is the opportunity? In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and serves as the central repository of finance related datasets, with capabilities including the ingestion of positional/trade, sub-ledger, general-ledger trial balances, and reference data; as well as data enrichment, adjustment, reconciliation, analytics and reporting functions.

What will you do?

• Work with the Product Owner, Product Manager, and Development Lead to understand and determine best mix of development and technical solutions to meet business requirements and project objectives.
• Work on detailed design and development phases of project initiatives; identifying, tracking and resolving technical issues.
• Ensure design/development solutions are aligned to the data/architecture strategy.
• Ensure adequate technical/reference documentation and training is in place.
• Provide assistance to the application support team in troubleshooting and resolving production issues.
• Coordinate with the Quality Engineering team on all aspects of testing and verification, ensuring quality assurance testing is performed for all changes.
• Impart knowledge, benefit of experience, and mentoring to other members of the team.

Must-have:

• Total Experience 5+ years’ , with atleast 2-3 years experience with Spark (Scala/Python) , Big Data ,Databricks, Airflow ,DBT
• Solid experience (as evidenced by resume) with Apache Hadoop/Hive ETL/data-pipelines or other big-data platform technology/tools Cloudera
• Solid experience (as evidenced by resume) with SQL, Oracle/PL-SQL or any ANSI-compliant RDBMS platform preferred.
• Experience on Windows/Unix/Linux OS.
• Undergraduate degree/diploma in computer science/engineering or related technology discipline.
• Solid communication and time management skills.

Nice-to-have:

• Demonstrable experience with DevOps tools/technologies, including continuous integration/delivery tools and technologies such as GitHub, Jenkins, Synk, JIRA, Confluence, Airflow
• Demonstrable experience with containerization tools and technologies such as Docker, Kubernetes, Redhat OpenShift Container Platform (OCP).
• Experience with Capital Markets or other financial technology services’ middle/back office environments.
• Experience with/exposure to cloud technology platforms such as PCF (on-prem), AWS. Azure (off-prem).
• Experience with/exposure to Business Intelligence (BI)/Analytics/Reporting tools, such as Tableau, Datameer, Power BI, Presto, Snowflake, Apache Superset, etc.
• Experience with/exposure with Test driven development (TDD) and automated unit testing.

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: 745 THURLOW ST:VANCOUVER

City: Vancouver

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-07-27

Application Deadline: 2026-08-31

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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