Lead data engineering teams at Capgemini using Azure Data Services, Azure Databricks, PySpark, and SQL to build reliable data infrastructure.
This Senior Data Engineer role focuses on leading and managing data engineers while overseeing data engineering projects. You will ensure technical excellence, foster stakeholder collaboration, and deliver reliable, high-quality data solutions. Core work includes data migration, data modeling, data quality, and ETL or ELT processing.
Key Responsibilities:
- Lead and manage a team of data engineers
- Oversee data engineering projects from delivery through completion
- Ensure technical excellence across engineering initiatives
- Foster collaboration with project stakeholders
- Deliver reliable, high-quality data solutions
Requirements:
- Experience with data migration and data modeling
- Knowledge of data quality and ETL or ELT processing
- Proficiency with Azure Data Services
- Experience using Azure Databricks, PySpark, and SQL
- Microsoft Fabric or Power BI knowledge is a nice to have
Apply senior data engineering leadership across Azure platforms, migration, modeling, quality, and scalable data solution delivery.
Senior Data Engineering Lead in Vancouver employer: Capgemini
Capgemini is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to lead innovative ADM/AMS solutions in the vibrant Greater Toronto Area. With a strong emphasis on professional growth, extensive training opportunities, and a hybrid work model that promotes work-life balance, Capgemini empowers its team members to thrive while engaging with diverse clients across multiple countries. Join us to be part of a collaborative environment where your expertise in SAP and leadership can make a significant impact.
