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Trainee Databricks Data Engineer Jobs in Ontario

Bits In Glass

Sr. Data Engineer

Toronto, ON

We're seeking a Senior Data Engineer to join our Delivery Team. In this role, you'll design and ... Hands-on experience with data lake and warehouse technologies (e.g., Databricks, Snowflake ...

Citi

Data Engineer

Mississauga, ON · On-site

The Data Engineering Lead will drive the design and implementation of high-throughput data ... Manage and optimize Databricks workspaces, including Unity Catalog, Delta Live Tables, job clusters ...

Manulife

Data Engineer

Toronto, ON · On-site

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks ...

Manulife

Data Engineer

Waterloo, ON · On-site

As a Data Engineer at Manulife, you would play a critical role in the development and maintenance ... Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks ...

AXIS Capital

Databricks Engineer

Dublin, ON · Hybrid

The Data & Analytics organization empowers AXIS to make informed, datadriven decisions by delivering trusted, scalable, and wellgoverned data platforms. As a Databricks Engineer, you will work ...

Synechron

CA$125K - CA$130K/yr

Role: Cloud Data Engineer The Cloud Data Engineer is responsible for designing, building, and ... Optimize Databricks jobs for performance and scalability to handle big data workloads. * Monitor ...

New

Vangard, Inc.

Sr Data Engineer, Specialist

Toronto, ON

CA$90K - CA$140K/yr

We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data architecture and data modeling to help build the next generation of our data foundation , including ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

Fitch Solutions

Principal Data Engineer

Toronto, ON · On-site

... Snowflake, Databricks, and AWS. * Design and implement data solutions using PostgreSQL for ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

Td

Data Engineer I

Toronto, ON · Remote

CA$69K - CA$98K/yr

Azure Data Engineer About TDI Data: TDI Data builds and supports enterprise data products and ... The successful candidate will leverage Azure Databricks, PySpark, SQL, and Azure Data Factory to ...

MCKESSON

Senior Data Specialist

Mississauga, ON · Remote

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Key Responsibilities Azure Databricks & Data Engineering * Design, build, and optimize large-scale data pipelines using Azure Databricks, PySpark, and advanced SQL. * Develop and maintain batch and ...

Konrad

Senior Data Engineer

Toronto, ON · Hybrid

CA$120K - CA$145K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure ...

Spectrum Health Care

Data Engineer

Toronto, ON

Company Description Are you a Data Engineer with experience building cloud-based data solutions and ... Design, deploy and maintain a centralized Azure ADLS  Gen2/Databricks/Synapse (or Snowflake) data ...

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Trainee Databricks Data Engineer information

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Ontario?

The most popular types of Databricks Data Engineer jobs in Ontario are:

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For Trainee Databricks Data Engineer jobs in Ontario, the most frequently searched job titles are:

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The top searched job categories for Trainee Databricks Data Engineer jobs in Ontario are:

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Cities in Ontario with the most Trainee Databricks Data Engineer job openings:

Trainee Databricks Data Engineer jobs near you
Infographic showing various Trainee Databricks Data Engineer job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Manager, Field Engineering - Financial Services Industry

Toronto, ON

Databricks
Software Development • 5 - 10K employees
Learn more about Databricksexternal

Full-time

Re-posted 13 days ago

Job description

REQ ID - FEQ227R90

Location: Toronto, ON

The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI.  Major Enterprises in Canada are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to every audience, at scale.  Our Field Engineering team is hiring a dynamic Solution Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers' data and AI experiences forward.

Reporting to the Director of Field Engineering, the Manager, Field Engineering will help lead a team of SAs for the Commercial and Enterprise segment of Databricks' Field Engineering team focused on the Financial Services Industry. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (70% pre-sales, 30% technical acumen/demonstrations), you will partner with Sales (and other Field Engineering technical segments)  to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The impact you will have:

  • You will hire, train, grow and manage a team of Solutions Architects for a company in high-growth mode.
  • Make your customers extremely successful with Databricks and provide outsized value to their businesses.
  • You will maintain a robust hiring pipeline at all times.
  • Establish relationships across the business to make your customers and team successful.
  • Partner with sales leadership to hit sales and consumption targets and ensure customer success
  • Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining a deep understanding of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What we look for:

  • 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, and enabling pre- and post-sales professionals
  • 7+ years of experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).
  • A deep technical understanding of the impact which Data & AI can drive within  various industry segments
  • Trusted advisor to technical executives that guide strategic data infrastructure decisions.
  • Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
  • Experience hiring candidates, ramping them up to be successful, and promoting into larger roles.
  • Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners.
  • Experience working with other teams such as Sales, Product Management, Engineering, and Customer Success.
  • Must be technical enough to earn the trust of Engineering talent and leadership Databricks.
  • Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers towards ideal solutions that scale.


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