Data Engineer

The Opportunity Highspring is seeking a Bilingual Data Engineer (English & French) to support one of our Montreal-based partners in designing, building, and optimizing modern data pipelines. This role is ideal for someone who excels in Python development, brings hands-on Databricks expertise, and thrives in dynamic, cloud-driven environments. What You'll Do Design, develop, and optimize scalable data pipelines and ETL processes using Python and Databricks Implement robust data ingestion, transformation, and integration workflows across structured and unstructured sources Collaborate with data architects, analysts, and business teams to understand data requirements and deliver high-quality solutions Build and maintain reusable, well-documented code aligned with engineering best practices Monitor, troubleshoot, and enhance data pipelines to ensure reliability and performance Contribute to data governance, quality standards, and security compliance Participate in Agile ceremonies and provide technical insights to improve overall delivery What You Bring to the Table Proven experience as a Data Engineer in a cloud or modern data ecosystem Strong programming skills with Python , including testing, packaging, and version control Hands-on expertise with Databricks , including Spark-based pipelines and Delta Lake Familiarity with cloud platforms (Azure, AWS, or GCP) Strong communication skills in both English and French Ability to work in a collaborative consulting environment supporting client-facing projects Core Skills Required Databricks / Spark SQL and relational/non-relational data modeling Version control (Git) Our Stack Python Databricks / Spark Why Join Highspring Work on impactful, modern engineering projects across multiple industries Join a collaborative team that values innovation, curiosity, and continuous learning Access growth opportunities, mentorship, and career development pathways A culture that prioritizes people, quality craftsmanship, and meaningful problem solving Databricks / Spark Python Databricks / Spark #J-18808-Ljbffr