Sr Data Engineer

RBC
TORONTO, Ontario, Canada On-site Senior 27.05.2026
Data Engineer backend-developer Data Engineer DevOps
Auf einen Blick

Baue beim RBC Senior Data Engineer an skalierbaren Daten-Infrastrukturen. Mit Java/Scala und Big Data Tools (Spark, Hadoop, AWS Glue) entwickelst du das Nervensystem der globalen Bank-Analytics.

💰 ~CAD 130.000–180.000/Jahr (geschätzt) 📊 Senior 🕒 Vollzeit 🌍 Vor Ort 🗺️ Americas
  • 5+ Jahre Java oder Scala
  • 5+ Jahre Spring/Spring Boot High-Performance Apps
  • 3+ Jahre Big Data Tools (Spark, Hadoop, Glue, Databricks)
  • Bachelor+ in Computer Science
java scala apache spark hadoop aws glue databricks backend development data engineering

Gehalt geschätzt anhand Senior Engineer mit 5+ Jahren Backend & Big Data + Bonus. Kein Gehalt in der Anzeige angegeben.

✅ Geeignet für
  • Senior Java/Scala Backend Engineers mit Big Data Skills
  • Data Engineers mit Scale-Anforderungen
  • Architekten von Datenplattformen
🚫 Weniger geeignet
  • Frontend oder Fullstack ohne Deep Backend
  • Mid-Level oder Junior ohne 5+ Jahre Experience
💡 Gut zu wissen
  • Java/Scala sind essentiell (nicht Python-first)
  • Spring Boot Expertise über grundlegend erwartet
  • Hands-on Coding macht ~60% der Rolle
  • Bewerbungsfrist: 25.06.2026

Job Description What is the opportunity? Global Functions Technology (GFT) is part of RBC's Technology and Operations division. GFT's impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking, and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration. This role supports the development and maintenance of scalable data stores that form the Market Risk ecosystem in RBC. Optimizes data solutions, ensuring the delivery of high-quality data assets, reporting, and business intelligence to support organizational objectives. Manages data engineering projects or assignments of increasing complexity, scope, and impact, applying professional judgment and expertise. What will you do? - Design, build, and review scalable data pipelines, data lakes, warehouses, and analytical platforms. This is a hands-on role with end-to-end ownership, with significant time spent doing coding. - Set Technical Direction: Define and promote best practices in data engineering. Evaluate emerging technologies and guide adoption to drive innovation. - Partner Cross-Functionally: Work closely with business leaders and IT teams to understand needs and translate them into technical solutions. - Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security. What do you need to succeed? Must Have: - 5+ years developing in Java/Scala - 5+ years of experience in building high-performance backend applications with Spring/Spring Boot etc. - 3+ years of hands-on experience with any of the big data tools (e.g., Apache Spark/Hadoop/AWS Glue/AWS EMR/Snowpark/Azure Databricks/Azure Data Factory) - Excellent communication skills—able to clearly explain complex technical concepts to both technical and non-technical audiences. - Bachelor’s degree in computer science, engineering, or a related field; Master's or PhD preferred. Nice to Have: - Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns. - Familiarity with front-end frameworks (e.g., React, Angular) What’s in it for you? - A Total Rewards program that includes flexible benefits, work/life balance, and career development programs, as well as investment and retirement savings plans - Competitive pay and high-earning potential - All the tools, training, and team support you need to grow your business and career - Flexible work/life balance options #LI-POST #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: RBC CENTRE, 155 WELLINGTON 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: 2026-02-23 Application Deadline: 2026-06-25 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 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.