SapienX, Inc. is looking for an experienced Data Engineer for a 6-month consulting engagement supporting our clients.

We’re looking for someone who can hit the ground running in an established enterprise data environment and contribute immediately across both day-to-day platform needs and ongoing enhancements .

This isn't a role where you'll spend your first few months designing something that may eventually go into production. You'll be working with real enterprise data pipelines and production workloads , solving problems, improving reliability, and helping an experienced data engineering team continue evolving the platform.

What you'll be working with

You'll want to be very comfortable with:

- Azure Data Factory
- Azure Databricks and Lakehouse architectures
- PySpark and Python
- Azure Logic Apps
- SQL and complex data transformations
- Production support, troubleshooting, monitoring, and incident resolution
- CI/CD and structured DEV → QA → PROD deployment practices

Our architecture is moving toward a governed medallion model spanning SAP Business Data Cloud/Datasphere, Azure Databricks and ADLS, Microsoft Fabric/OneLake, Unity Catalog, and Power BI, so experience working across modern enterprise lakehouse patterns would be particularly relevant.

Who we're looking for

This opportunity is especially well suited to a mid-to-senior or senior Data Engineer who:

- Enjoys getting hands-on with real production data problems




- Can troubleshoot an unfamiliar pipeline and systematically get to root cause
- Is comfortable both supporting what exists and improving it
- Writes clean, maintainable Python/PySpark and SQL
- Understands how enterprise data solutions move safely through development, QA, and production
- Works collaboratively and communicates clearly with other engineers and stakeholders
- Can operate effectively without needing extensive ramp-up or day-to-day direction

Even better if you know Experience in any of these areas would be a strong plus:

- SAP data integration
- SAP Business Data Cloud (BDC)
- SAP Datasphere
- Microsoft Fabric
- Power BI data models
- Unity Catalog
- Azure SQL / Cosmos DB
- Contemporary medallion/lakehouse architecture

Engagement

Duration: 6 months

Engagement: Contract through SapienX, Inc.

Focus: Azure data engineering, production support, pipeline enhancements, and platform evolution

If you're the kind of engineer who enjoys opening a failing pipeline, figuring out why it failed, fixing it properly, and then asking "how do we make sure this doesn't happen again?" , I'd especially like to hear from you.

Interested? Send me a message on LinkedIn with a short introduction and your resume.

#DataEngineering #Azure #Databricks #PySpark #Python #AzureDataFactory #SQL #MicrosoftFabric #Lakehouse #SAP #ContractJobs

📌 Contract Data Engineer (Greater Toronto Area)
🏢 SapienX
📍 Greater Toronto Area