Senior Data Engineer
Job Type: Contract
Pay Rate: CAD 55 on Inc
Location: 3 days onsite (Monday, Tuesday & Thursday)
What You Need to Do
· Design, develop, and maintain scalable data pipelines and ETL processes for structured and unstructured data.
· Build and optimize tables and views to support dashboards, reporting, and self-service analytics.
· Gather, analyze, and translate business requirements into efficient data transformation solutions.
· Collaborate with business stakeholders, data analysts, and technology teams to deliver reliable and scalable data solutions.
· Ensure data quality, governance, scalability, and performance across large and complex datasets.
· Develop robust data solutions leveraging Google BigQuery, Python, stored procedures, and cloud-native technologies.
· Automate data processing workflows and implement strategies to improve data quality and overall customer experience insights.
· Aggregate, prepare, and transform data for reporting, dashboards, scorecards, and advanced analytics use cases.
· Provide data extraction, reporting support, and actionable insights while responding to ad hoc business requests.
· Drive continuous improvement initiatives through process optimization and adoption of modern data engineering frameworks and tools.
· Effectively communicate complex technical concepts to business stakeholders and ensure alignment with organizational objectives.
· Support analytics initiatives involving clickstream and customer behavioral data where applicable.
What You'll Need to Succeed
· 7+ years of experience in Data Engineering or a related technical field.
· Bachelor's degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related quantitative discipline.
· Strong experience designing and maintaining enterprise-scale ETL and data pipeline solutions.
· Advanced proficiency in SQL and Python.
· Hands-on experience with Google Cloud Platform (GCP) services and cloud-based data architectures.
· Strong experience with Google BigQuery, including query optimization and stored procedure development.
· Experience with modern data engineering technologies such as Dataflow, Pub/Sub, Airflow, PySpark, Iceberg, StarRocks, and Vertex AI.
· Experience working with large-scale data warehouses such as BigQuery, Snowflake, or Redshift.
· Familiarity with applied AI/ML concepts and their integration within data platforms.
· Strong understanding of data governance, data quality, and performance optimization best practices.
· Retail industry experience with the ability to translate business requirements into scalable data solutions.
· Excellent analytical, problem-solving, and troubleshooting abilities.
· Strong communication and stakeholder management skills, with the ability to collaborate across business and technical teams.
· Proven ability to work in fast-paced environments while managing multiple priorities and projects.
· Experience working with clickstream data and customer analytics is considered an asset.
· Relevant certifications such as Google Professional Data Engineer, AWS Certified Big Data Specialty, or Microsoft Azure Data Engineer Associate are preferred.
· ITIL Foundation certification is considered an asset.
What You'll Get in Return
You will have the opportunity to work with a talented team of professionals in a dynamic and collaborative environment. The client offers exposure to large-scale cloud data platforms, advanced analytics initiatives, and enterprise data transformation projects. This role provides the opportunity to make a meaningful impact while working with modern data engineering technologies and best-in-class practices.
What You Need to Do Now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
Additional Information
· Reports to Manager, Interconnected & Marketing Analytics.
· Limited travel required, including quarterly visits to retail store locations.
· Hybrid work model with onsite presence required three days per week (Monday, Tuesday, and Thursday).
· Office-based environment.
· Physical requirements include extended periods of sitting and repetitive computer-based tasks.
This posting is for an existing vacancy with the organization.
AI may be used to screen, assess or select applicants for the position.
