Location: Toronto/GTA (Hybrid, 2–4 days WFO)
Compensation: CAD $95,000–$100,000/year (contract), with flexibility for senior profiles
Openings: multiple
About the Role
We're hiring Azure and AWS Data Engineers to work hybrid in the Toronto/GTA area with one of Canada's big 5 banks, through our technology staffing partnership. You'll be building and modernizing enterprise data platforms at scale in a regulated financial environment. Apply to whichever track matches your background - Azure or AWS.
Why Work With Us
Most agencies place you and disappear. We do it differently:
- We invest in you before you interview. One week of hands-on upskilling - AI systems, architecture and documentation practices, and AI coding tools for rapid prototyping - so you are up to date with what modern employers expect, and you walk into the client interview sharper than other candidates.
- You get real interview coaching, not a template. Personalized prep (AI + human) built around your actual background and this specific client.
- We help you tell your story. CV support (AI + human) tailored to the role.
- You talk to real people, not a portal. Direct access to our team throughout the process.
- This costs you nothing. No fees, ever, at any stage.
- We move fast. We respect your time and won't drag the process out.
- We're selective on our end too. We're looking for people who are committed and want to do great work.
What You'll Do
Azure track
- Design, develop, and maintain data solutions using Microsoft Fabric (Data Factory, Data Engineering, Data Warehouse, Lakehouse, Real-Time Analytics)
- Lead data migration from legacy platforms to Microsoft Fabric
AWS track
- Design, develop, and optimize scalable data pipelines using Databricks (PySpark, Delta Lake, Unity Catalog, Lakeflow) and AWS (S3, Glue, Lambda, Step Functions, Redshift)
- Lead data ingestion, transformation, and modeling for enterprise platforms (Advisor360, CRM, ETF, Mutual Fund data)
Both tracks
- Build ETL/ELT pipelines and data transformation/integration processes
- Perform data validation, reconciliation, and quality assurance
- Collaborate with business stakeholders, architects, and analytics teams to gather requirements and deliver scalable solutions
- Implement data governance, security, and monitoring best practices
- Prepare technical documentation and deployment plans
What You Bring
Azure track
- 4–6 years in Data Engineering, Data Warehousing, or BI
- Hands-on experience with Microsoft Fabric and its core services
- Proven experience in data migration projects, from assessment through validation
- Strong SQL and database development skills
AWS track
- 12+ years in Data Engineering, Data Architecture, or large-scale distributed data systems
- Expert knowledge of AWS Data Services and the Databricks/Spark ecosystem
- Strong data modeling expertise (Dimensional, Canonical, Data Vault, Domain-Driven)
- Advanced SQL and Python with ETL/ELT experience
Both tracks
- Experience with CI/CD and DevOps practices
- Legal eligibility to work in Canada
Our Process
Apply here, and if shortlisted you'll complete a short technical assessment via our platform, tenx, before moving to client interviews.
