Senior Data Engineer; Global Security
Job in
Toronto, Ontario, M5A, Canada
Listing for:
0000050007 Royal Bank of Canada
Full Time
position
Listed on 2026-01-13
Job specializations:
-
IT/Tech
Data Engineer, Data Science Manager, Data Analyst, Big Data
Job Description & How to Apply Below
Position: Senior Data Engineer, (Global Security)
Job Description
What is the opportunity? For a Senior Data Engineer to join our collaborative cyber security team, focusing on building scalable data solutions that directly enhance our application ecosystem. This role will work together with our application developers to integrate a robust data capability into our application to transform how our products leverage data for better design and business value. You’ll be instrumental in developing a comprehensive data strategy that seamlessly bridges the gaps between data and application functionality.
This role is focused on python application development with Databricks experience. Working directly with Python application developers to integrate data capabilities into existing and new applications.What will you do?Design, develop, and maintain end-to-end data pipelines in Azure Databricks using Spark (SQL, PySpark).Implement and optimize ELT/ELT workflows using Databricks Workflows or Apache Airflow ensuring data integrity, quality, and reliability.Manage Delta Lake solutions for data versioning, incremental loads, and efficient application data access.Apply best practices in data governance, ensuring compliance using Unity Catalog for access management and data lineage tracking.Monitor, troubleshoot, and optimize Spark jobs for performance, addressing data pipelines bottlenecks that impact application responsiveness.Build automated monitoring, alerting, and incident managements solution to ensure data reliability, availability, and performance.Collaborate with our developers and cross-functional teams to integrate data capabilities into existing and new applications.Build APIs and data services that applications can consume for real-time and batch data processing.Develop and maintain comprehensive documentation for data pipelines, transformations and data models.Foster knowledge and collaborative functionsWhat do you need to succeed?Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Engineer).Application Development experience, proficient in Python and building microservices.Institutional knowledge working with an enterprise that embraces programming best practicesBachelor’s or master’s degree in computer science, Data Engineering and, or a related field.5+ years of proven experience in data engineering, delivering business-critical software solutions for large enterprises with a consistent track record of success.Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime, Cluster management etc.)Strong experience in Spark and PySpark for big data processing.Knowledge of SCM, Infrastructure-as-code, and CI/CD pipelines.Nice to HaveExposure to Kubernetes, Docker, and Terraform.Strong understanding of business intelligence and reporting tools.Familiarity with Cyber Security Concepts.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 applicableLeaders who support your development through coaching and managing opportunitiesWork in a dynamic, collaborative, progressive, and high-performing teamA world-class training program in financial servicesOpportunities to do challenging workOpportunities to take on progressively greater accountabilitiesOpportunities to building close relationships with clients.#LI-Post#LI-PK#TECHPJ
Job SkillsBig Data Management, Cloud Computing, Database Development, Databricks Platform, Data Engineering, Data Mining, Data Pipelines, Data Warehousing (DW), ETL Development, ETL Processing, Group
Problem Solving, Microservice Framework, Microsoft Azure Databricks, Python (Programming Language), Quality Management, Requirements Analysis
Additional Job DetailsAddress:
16 YORK ST:
TORONTO
City:
Toronto
Country:
Canada
Work…
Position Requirements
10+ Years
work experience
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