Senior Data Engineer

Location Address:
Hybrid - 44 King Street W 19th Floor, Toronto – 4/week

Subject to change: 3–4 days onsite may be required based on business needs

Contract Duration: 7+months

Possibility of extension & conversion to FTE

Schedule

Hours:

9am-5pm Monday-Friday; standard 37.5 hrs/week

• Collaborate with cross-functional teams to do an end-to-end refactor/redesign of critical Finance applications into cloud-native GCP solutions, written in Python.
• Develop data pipelines using Composer, Dataflow, and GCS (Google Cloud Storage) for both streaming and batch processing.
• Reverse-engineer and analyze critical on-premise applications consisting of stored procedures, Microsoft SQL Server.
• Design and implement data models, ensuring scalability and performance in the cloud.
• Participate in setting up GCP environments, including infrastructure-as-code, to support the new system.
• Contribute to the migration strategy for transitioning on-prem applications to the cloud, including designing a structured migration process.
• Implement CI/CD pipelines to ensure smooth deployment and testing workflows.
• Apply sound software engineering principles, including object-oriented programming, to create maintainable, robust code.
• Provide regular updates and insights to stakeholders and gather feedback for ongoing improvements.
• Contribute to the long-term technical vision of the cloud data platform.

Role split: 20% meetings (Bas, stakeholders), 80% back-end application coding and GCP migration/infrastructure work