Looking for a skilled Databricks Engineer to support a major data modernization project? Apply Now! Working with one of our top financial clients, this role cal
Responsibilities
Looking for a skilled Databricks Engineer to support a major data modernization project? Apply Now! Working with one of our top financial clients, this role calls for a Sr Databricks Engineer (Banking). The successful candidate will play a key role in transforming legacy platforms into modern, scalable data solutions on Azure Databricks, supporting enterprise-scale data workflows and modernization initiatives. Pay rate range (CAD): $70.00/hr – $75.00/hr Responsibilities Develop and maintain end-to-end data pipelines on Azure Databricks using Python and Spark. Implement and optimize data transformations aligned with the Medallion Architecture (Bronze, Silver, Gold). Automate workflows incorporating Azure Data Factory for data ingestion and processing. Monitor pipeline performance, troubleshoot issues, and optimize data workflows. Collaborate with cross-functional teams to support data modernization efforts and ensure seamless data delivery. Support migration from legacy systems to scalable cloud data architecture. Ensure data quality, security, and compliance standards are maintained throughout all phases of data processing. Document technical designs, processes, and workflows for ongoing support and enhancement. Desired Skill-Set Minimum of 5+ years of experience with Azure Databricks. Proficiency in Python programming. Strong knowledge of data modeling, data warehousing, and ETL best practices. Experience with automating data workflows using Azure Data Factory. Proven ability to monitor, troubleshoot, and optimize high-volume data pipelines. Hands-on experience with enterprise-scale data environments. Knowledge of cloud computing concepts and data security standards. Nice to Have Familiarity with SQL and data visualization tools. Experience working in financial services or regulated environments. Knowledge of other cloud platforms such as AWS or GCP. Exposure to DevOps practices for data pipeline deployment. Certification in Azure Data Engineering or similar.
Senior I&C Engineer designing SCADA, PLC, HMI, and industrial networks for Arcadis municipal water and wastewater facilities. Leading technical documentation, construction support, testing, and commissioning.
We’re Hiring: Lead Data Solution Engineer 📍 Toronto, ON - Hybrid (4 Days WFO) 📄 Contract: 6 - 12 Months 🔹 Must - Have Skills: - 10+ years in Data Architecture / Dat
Lead verification engineer verifying digital RTL and reusable components for Cadence’s high - performance physical IP. Driving coverage closure, test plans, and verification flows.
Controls Engineer leading microgrid control projects for Generac’s energy systems. Delivering programming, commissioning, troubleshooting, and customer support onsite with international travel.
Senior hydrogeologist modelling groundwater for BGC’s applied earth sciences consultancy. Leading mining studies, numerical models, fieldwork, and technical teams across Canada.
Senior Authentication Engineer securing NBCUniversal’s media and entertainment platforms with Microsoft Entra. Designing resilient SSO, MFA, passwordless, and federation services across enterprise environments.
Trackwork engineer designing, assessing, and supporting construction of railway infrastructure. Collaborating on multidisciplinary projects for AtkinsRéalis across Canada and beyond.
Municipal Engineer designing and leading civil and utility infrastructure projects across western Canada for AtkinsRéalis. Managing multidisciplinary delivery, QA/QC, budgets, timelines, and client stakeholders.