About the role
Company Overview 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.
Position Description We are seeking skilled Databricks Engineers to support high-impact data and AI initiatives within the Global Wealth and Asset Management (GWAM) Data division of our Financial Services Client. This role will be critical in enabling the migration to Databricks Unity Catalog, building reusable data products, and supporting application-level integrations for the advanced analytics team to build agents.
Key Responsibilities
- Design and build data pipelines (batch-first, with increasing move toward stream processing) on Databricks Lakehouse
- Support Unity Catalog migration from legacy Databricks setups
- Integrate data services with front-end applications using APIs
- Participate in end-to-end delivery of data products (ingestion, transformation, storage, and consumption)
- Collaborate with platform, app, and AI teams to deliver reusable frameworks for use cases like call center transcript analytics
Workplace: Hybrid role based in Ontario with some travel to client site in Toronto
Must Have Skills
- 8+ years of experience in data platform engineering or architecture, with demonstrable hands-on work in enterprise environments
- Expertise in Databricks and Unity Catalog, including data security, access control, governance, and catalog management
- Proven experience designing and orchestrating pipelines using Azure Data Factory, including parameterized and dynamic pipelines
- Deep knowledge of Azure services, including ADLS Gen2, Azure DevOps, Key Vault, and networking considerations
- Hands-on skills in Python/Scala, Spark, SQL, and data orchestration tools
- Experience with infrastructure-as-code (Terraform, Bicep, ARM templates) and CI/CD automation
- Strong communication skills, with a proven track record of driving business-facing conversations and aligning stakeholders on platform decisions
Professional Skills
- Solid written, verbal, and presentation communication skills
- 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
About Bridgenext
Bridgenext is a global digital consultancy 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 across the U.S., Canada, Argentina, and India 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.
At Bridgenext, four incredible brands (Emtec, Emtec Digital, Wave6, Definition 6) are coming together to deliver deep expertise across diverse disciplines, creating exceptional solutions and measurable results.
About the role
Company Overview 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.
Position Description We are seeking skilled Databricks Engineers to support high-impact data and AI initiatives within the Global Wealth and Asset Management (GWAM) Data division of our Financial Services Client. This role will be critical in enabling the migration to Databricks Unity Catalog, building reusable data products, and supporting application-level integrations for the advanced analytics team to build agents.
Key Responsibilities
- Design and build data pipelines (batch-first, with increasing move toward stream processing) on Databricks Lakehouse
- Support Unity Catalog migration from legacy Databricks setups
- Integrate data services with front-end applications using APIs
- Participate in end-to-end delivery of data products (ingestion, transformation, storage, and consumption)
- Collaborate with platform, app, and AI teams to deliver reusable frameworks for use cases like call center transcript analytics
Workplace: Hybrid role based in Ontario with some travel to client site in Toronto
Must Have Skills
- 8+ years of experience in data platform engineering or architecture, with demonstrable hands-on work in enterprise environments
- Expertise in Databricks and Unity Catalog, including data security, access control, governance, and catalog management
- Proven experience designing and orchestrating pipelines using Azure Data Factory, including parameterized and dynamic pipelines
- Deep knowledge of Azure services, including ADLS Gen2, Azure DevOps, Key Vault, and networking considerations
- Hands-on skills in Python/Scala, Spark, SQL, and data orchestration tools
- Experience with infrastructure-as-code (Terraform, Bicep, ARM templates) and CI/CD automation
- Strong communication skills, with a proven track record of driving business-facing conversations and aligning stakeholders on platform decisions
Professional Skills
- Solid written, verbal, and presentation communication skills
- 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
About Bridgenext
Bridgenext is a global digital consultancy 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 across the U.S., Canada, Argentina, and India 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.
At Bridgenext, four incredible brands (Emtec, Emtec Digital, Wave6, Definition 6) are coming together to deliver deep expertise across diverse disciplines, creating exceptional solutions and measurable results.