Azure Data Engineer
The role involves architecting ETL frameworks and building data ingestion pipelines using Azure Data Factory. The engineer will coordinate with SMEs and technical partners to translate technical requirements into actionable tasks.
- Hybrid
- Toronto, ON
- Posted Aug 5, 2026
- Apply by Sep 4, 2026
- 1 position
Job summary
Role:Azure Data Engineer location Toronto ON , Hybrid (4 days/week onsite): Work Hours: 9:00 AM - 5:00 PM Experience Required: 8 Years Role Description: Looking for a Data Engineer with strong experience in ADF, ADB, PySpark, SQL, and architecting ETL frameworks. Essential Skills: Azure Data Factory (ADF) Azure Databricks (ADB) PySpark SQL Architecting ETL Frameworks Required Skills: Strong communication skills with the ability to liaise and coordinate with SMEs and technical partners Strong ability to break down technical requirements into actionable tasks Proficient with relational databases such as MS SQL and SQL scripting Proficient in building and maintaining Azure Data Factory pipelines for data ingestion orchestration Good OOP understanding with experience in Python or Java Proficiency with Git (Bitbucket or GitHub) Good understanding of CI/CD concepts for building and deploying artifacts Understanding of synchronous and asynchronous data encryption/decryption Nice to Have Skills: Azure Databricks Notebooks or Apache Spark for data transformations Datadog dashboard and monitoring experience Azure Data Lake Gen2 Understanding of Parquet and Delta Lake concepts Experience with XLR for CI/CD Experience with Flyway for data migrations
What you’ll do
The role involves architecting ETL frameworks and building data ingestion pipelines using Azure Data Factory. The engineer will coordinate with SMEs and technical partners to translate technical requirements into actionable tasks.
Requirements
Requires 8 years of experience with strong proficiency in ADF, ADB, PySpark, and SQL. Candidates must have a good understanding of OOP, Git, and CI/CD concepts.
Listed skills
- SQLPreferred
- CI/CDPreferred
- JavaPreferred
- GitPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Azure Data Factory
- Azure Databricks
- PySpark
- SQL
- ETL Frameworks
- Python
- Java
- Git
- CI/CD
- MS SQL
- Data Encryption
- Azure Data Lake Gen2
- Parquet
- Delta Lake
- Datadog
- Flyway
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Additional details
- Minimum experience
- 5+ years
- Apply by
- Sep 4, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 4 days per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available