Databricks Engineer

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.

Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed. 

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 Responsibilities:

• Design, build, and optimize scalable data pipelines using Databricks, Apache Spark, Delta Lake, and Unity Catalog
• Develop ingestion frameworks for structured and semi‑structured data from multiple enterprise sources
• Create reusable, curated data products aligned to enterprise data models
• Implement data governance, data quality, and security controls across the data lifecycle
• Optimize data pipelines and models for downstream Power BI consumption
• Partner with data owners, analysts, and business stakeholders in agile delivery ceremonies
• Enable analytics and AI workloads using trusted, well‑curated data assets
• Ensure compliant handling of sensitive financial and health data

Workplace: This is a remote role requiring full-time Eastern timezone working hours and quarterly travel to the Toronto office.  We are able to hire in Ontario, Quebec, Alberta, or British Columbia.

Must Have Skills

• 5+ years of data engineering experience in enterprise environments
• 3+ years hands-on with Databricks in production workloads
• Strong expertise in PySpark / Spark SQL
• Deep experience with Unity Catalog, Delta Lake, and Databricks performance tuning
• Strong understanding of data governance frameworks and quality controls
• Experience delivering solutions in regulated industries (banking, insurance, wealth/asset management preferred)

Preferred Skills

• Experience integrating Databricks with Power BI
• Exposure to AI / ML workloads supported by Databricks
• Prior work in financial services, insurance, or healthcare data environments

Professional Skills

• Strong communication skills with ability to engage business and stakeholders 
• Strong team and individual player
• Maintains composure during all types of situations and is collaborative by nature
• High standards of professionalism, consistently producing high quality results
• Self-sufficient, independent requiring very little supervision or intervention
• Demonstrate flexibility and openness to bring creative solutions to address issues  

Bridgenext is an Equal Opportunity Employer

Canadian citizens and those authorized to work in Canada are encouraged to apply

Compensation varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Bridgenext provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as described above. The current salary range for this position is $120,000 - $155,000 CAD annually. Our comprehensive total rewards program goes way beyond a competitive salary.

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