Data Engineer

Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.

We are seeking a skilled Data Engineer with expertise in modern data platforms and real-time data integration to design, build, and maintain scalable data pipelines that power enterprise analytics and business intelligence. This role is ideal for someone who enjoys solving complex data engineering challenges and thrives working with distributed data processing frameworks.

What You'll be Doing: Design, build, and maintain scalable data pipelines using Azure Databricks and Apache Spark

Develop and optimize ETL/ELT processes to ingest, transform, and load data from diverse source systems using Azure Data Factory and Azure Databricks

Implement Change Data Capture (CDC) solutions to enable real-time and near-real-time data synchronization, leveraging tools such as Azure SQL CDC, Debezium, or Databricks native CDC (Delta Live Tables)

Write clean, efficient, and maintainable code in Python for data processing and automation

Collaborate with data architects and analysts to translate business requirements into robust data pipeline designs on Azure Synapse Analytics / Azure Databricks

Monitor, troubleshoot, and optimize data pipeline performance, reliability, and cost efficiency using Azure Monitor and Databricks observability tools

Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers, including Azure Data Lake Storage (ADLS Gen2) and Delta Lake

Support integration of structured and unstructured data sources into unified data platforms built on Microsoft Fabric / Azure Synapse

Participate in code reviews and promote data engineering best practices across the team

Document data pipelines, transformations, and architecture for team visibility and maintainability

Collaborate with cross-functional teams to support analytics, reporting (Power BI), and downstream AI/ML use cases

What You'll Need to Be Successful: 3+ years of experience in data engineering or a related field

Strong hands-on experience with Azure Databricks for data processing and analytics workloads

Proficiency with Apache Spark for large-scale distributed data processing

Experience implementing CDC solutions and tools (e.g., Debezium, Azure SQL CDC, or Delta Live Tables)

Strong programming skills in Python for data engineering tasks

Solid understanding of SQL and relational database concepts, particularly within Azure SQL Database / SQL Managed Instance

Experience building and maintaining ETL/ELT pipelines in production environments using Azure Data Factory and/or Databricks Workflows

Understanding of data modeling principles and data warehousing concepts, including Azure Synapse Analytics dimensional/lakehouse modeling

Strong analytical and problem‑solving skills

Good communication skills, with the ability to work across technical and business teams

Blanc Labs is enabling a digital future. Headquartered in Toronto, we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at www.blanclabs.com.

Blanc Labs is an equal opportunity employer and is committed to providing employment in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.

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