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Azure Data Engineer Support Jobs in Toronto, ON (NOW HIRING)

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be ... Experience building production-grade data models with optimized performance supporting operational ...

The Data Engineer / Data Science Specialist builds and automates the data foundation that the ... Build on and advance the PHDU and PHO's Azure data and analytics platform; support data acquisition ...

The Data Engineer will have strong Python, Pandas, and NumPy expertise to support data validation ... Support data migration, onboarding, and integration projects. Nice to Have * PySpark * Azure Data ...

... on Azure Databricks engineering experience in production environments. * Proven track record building and supporting enterprise-scale data pipelines and Lakehouse implementations. * Experience ...

... on Azure Databricks engineering experience in production environments. * Proven track record building and supporting enterprise-scale data pipelines and Lakehouse implementations. * Experience ...

... on Azure Databricks engineering experience in production environments. * Proven track record building and supporting enterprise-scale data pipelines and Lakehouse implementations. * Experience ...

Support data engineering execution across complex application development initiatives, ensuring ... Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.

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 ...

You will design, build, and maintain scalable, resilient data pipelines to support the ingestion ... Experience building data pipelines, and composable cloud-based data platforms (Azure), using Azure ...

Site Reliability Engineer Hybrid GTA 12+ months This is an opportunity for someone early in their ... data-related issues Support ETL/ELT processes using Azure Data Factory, Synapse Analytics ...

Support Business Intelligence Analysts in modelling data for visualization and reporting, using ... Azure Data Factory, Azure Data Lake, Azure SOL Databases, Azure Data Warehouse, Azure Synapse ...

Senior Data Engineer

Mississauga, ON · On-site

CA$130K - CA$140K/yr

As a Senior Data Engineer , you will ensure scalable and efficient data systems by addressing ... Support the administration of Azure-based databases, including performance tuning, backup/recovery ...

Build and support enterprise data pipelines and integrations across Microsoft Azure data platforms ... systems Collaborate with engineering teams on platform modernization initiatives Help ...

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and ... Ability to support advanced analytics and ML enablement (nonpure DS focus). Minimum Requirements

Lead, Data Engineer

Mississauga, ON · On-site +1

CA$122K - CA$162K/yr

Databricks, Snowflake, Azure Data Factory * Confluent Kafka / Azure Event Hub * PySpark and ... Ability to support advanced analytics and ML enablement (nonpure DS focus). Minimum Requirements

Showing results 21-40

Azure Data Engineer Support information

Infographic showing various Azure Data Engineer Support job openings in Toronto, ON as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

Data Engineer

Toronto, ON • Hybrid

Konrad
Industrial Machinery Manufacturing • 11 - 50 employees

CA$90K - CA$125K/yr

Full-time

Medical, Retirement

Re-posted 16 days ago


Key responsibilities

  • Design, build, and manage robust data pipelines and data architectures.

  • Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.

  • Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.


Job description

Who We Are

Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners.

About The Role

As a Data Engineer you'll be tasked with designing, building, and maintaining scalable data platforms and pipelines. 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 reliable, secure, and efficient data solutions.

What You'll Do

  • Design, build, and manage robust data pipelines and data architectures.
  • Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake.
  • Optimize data workflows, ensuring reliability, scalability, and performance.
  • Collaborate with internal stakeholders to understand data needs and deliver tailored solutions.
  • Ensure data security and compliance with industry standards and best practices.
  • Perform data modelling, data extraction, transformation, and loading (ETL/ELT).
  • Identify and recommend innovative solutions to enhance data quality and analytics capabilities.

Qualifications

  • Bachelor's degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
  • At least 3 years of professional experience as a Data Engineer or similar role.
  • Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake.
  • Hands-on experience with data pipeline tools, cloud services, and storage solutions.
  • Strong programming skills in SQL, Python, or related languages.
  • Experience with big data technologies and concepts (Spark, Hadoop, Kafka).
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong understanding of data modeling concepts including medallion architecture, data vault, grain, fact tables, dimensions, and schema design.
  • Hands-on experience building and maintaining transformation layers using dbt or similar ELT tools.
  • Experience building production-grade data models with optimized performance supporting operational decision-making.
  • Experience designing batch and real-time ingestion frameworks with real-time monitoring
  • Ability to effectively communicate technical concepts clearly to non-technical stakeholders.

Nice to have

  • Certifications related to Azure Data Engineering, Databricks, or Snowflake.
  • Familiarity with DevOps practices and CI/CD pipelines.

Perks and Benefits

  • Comprehensive Health & Wellness Benefits Package
  • Retirement Planning
  • Parental Leave Program
  • Flexible Working Hours
  • Work from Home Flexibility
  • Service Recognition Programs
  • Socials, Outings & Retreats
  • Culture of Learning & Development

Bonus Points

Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have!

Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.

The estimated compensation for this position is $90,000 to $125,000. This is an estimate and a compensation offer will vary based on applicant's education, experience, skills, abilities and alignment with market data.

While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.

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