AZURE Data Engineer - ADF, ADB, PySpark, SQL, and architecting ETL frameworks.
The role involves architecting ETL frameworks and building data ingestion orchestration pipelines using Azure Data Factory. The engineer will also be responsible for data transformations and coordinating with technical partners and SMEs.
- Hybrid
- Toronto, ON
- Posted Aug 5, 2026
- Apply by Sep 4, 2026
- 1 position
Job summary
Role: AZURE Data Engineer - ADF, ADB, PySpark, SQL, and architecting ETL frameworks. Toronto Hybrid - 4 days Contract 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 orchestration pipelines using Azure Data Factory. The engineer will also be responsible for data transformations and coordinating with technical partners and SMEs.
Requirements
Candidates must be proficient in PySpark, SQL, and Azure Databricks with a strong understanding of OOP and CI/CD concepts. Experience with relational databases and version control systems like Git is required.
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
- Apache Spark
- Azure Data Lake Gen2
- Parquet
- Delta Lake
- 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