Databricks Data Engineer / Developer

Team: IT

Location: Canada

Commitment: Contract

Workplace Type: remote

Accountabilities:

The Databricks Data Engineer / Developer will support the design, development, and implementation of enterprise-grade data solutions. The role requires strong technical expertise, ownership of data engineering initiatives, and the ability to collaborate effectively across technical and business teams.

• Design, develop, and maintain scalable data pipelines within an enterprise data platform environment.
• Build and optimize ETL/ELT processes supporting data ingestion, transformation, integration, and analytics requirements.
• Develop reusable data solutions using Databricks and modern cloud-based data technologies.
• Apply AI-assisted and agentic development approaches to improve productivity while ensuring development standards are maintained.
• Support data platform modernization initiatives, including migration from legacy environments to modern architectures.
• Collaborate with data architects to implement scalable data models, lakehouse solutions, and platform improvements.
• Develop transformation logic and workflows that support business reporting and analytical needs.
• Ensure data quality, accuracy, consistency, security, and performance across platform solutions.
• Troubleshoot data issues, optimize performance, and resolve technical bottlenecks.
• Participate in code reviews, testing, deployment, and release activities.
• Partner with business teams, analysts, and project stakeholders to understand requirements and deliver effective data solutions.
• Contribute to documentation, engineering best practices, governance initiatives, and continuous improvement efforts.

Requirements:

The ideal candidate is an experienced data engineering professional with strong Databricks expertise and a proven ability to deliver enterprise-scale data solutions in cloud environments.

• 3+ years of hands-on Databricks development experience.
• 4+ years of experience in data engineering, ETL development, data integration, or related disciplines.
• Strong experience designing and developing ETL/ELT pipelines and transformation workflows.
• Proven ability to work with large and complex datasets.
• Experience developing solutions within cloud-based data platforms.
• Strong understanding of data warehousing, data lakes, and lakehouse architectures.
• Proficiency in SQL and Python development.
• Experience with enterprise data platforms, data modernization, and migration initiatives.
• Familiarity with Agile delivery methodologies and collaborative development environments.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data challenges.
• Excellent communication skills and the ability to collaborate with architects, technical teams, project managers, and business stakeholders.
• Experience with AI-assisted coding tools, agentic frameworks, or AI-driven development practices is considered an asset.
• Experience with Azure Data Services, Databricks Lakehouse architecture, Delta Lake, Spark/PySpark, Azure Synapse, or Azure Data Factory is preferred.
• Knowledge of data governance, metadata management, data quality frameworks, and CI/CD practices for data solutions is an advantage.
• Experience working in large enterprise or consulting environments is preferred.

Benefits:

• Fully remote opportunity within Canada.
• 6-month contract opportunity supporting a high-impact enterprise transformation initiative.
• Opportunity to work on modern data platform architecture and cloud-based technologies.
• Exposure to enterprise-scale analytics, AI, and future data-driven initiatives.
• Opportunity to collaborate with experienced data professionals, architects, and business stakeholders.
• Ability to contribute to innovative solutions using Databricks, lakehouse technologies, and modern engineering practices.