Bridgenext is seeking an experienced Databricks Engineer to design and deliver scalable, governed data platforms supporting analytics and AI use cases in regulated enterprise environments. This role is hands-on and delivery-focused, working closely with business stakeholders, data owners, and analytics teams to build trusted, high-quality data products. Candidates must have strong production experience with Databricks and a proven track record delivering data solutions in banking, insurance, wealth management, or other regulated domains.
Key Highlights
Design and deliver scalable data platforms using Databricks
Work closely with business stakeholders and analytics teams
Strong production experience with Databricks required
Key Responsibilities
Design, build, and optimize scalable data pipelines using Databricks
Develop ingestion frameworks for structured and semi-structured data from multiple enterprise sources
Implement data governance, data quality, and security controls across the data lifecycle
Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
Technical Skills Required
Databricks
Apache Spark
Delta Lake
Unity Catalog
PySpark
Spark SQL
Benefits & Perks
Competitive salary range $120,000 - $155,000 CAD annually
Remote work
Quarterly travel to Toronto office
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
Nice to Have
Experience integrating Databricks with Power BI
Exposure to AI / ML workloads supported by Databricks
Job Description
Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.
Want the full job description?
Read the complete details on LinkedIn, the original posting.
Continue on LinkedIn
This is a short excerpt. All rights to the full description belong to its original publisher.
