Senior Data Engineer - Azure, Asset mgmt. / Wealth Mgmt.

TEEMA Solutions Group; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

A consulting firm in Toronto seeks a Senior Data Engineer to design and build cutting-edge data solutions for financial services. You will leverage your expertise in Azure, Databricks, and SQL to develop robust data pipelines while ensuring data quality and performance. This position offers a hybrid work environment and opportunities for career advancement.

Benefits

Competitive salary + performance bonus

Comprehensive benefits package

Career advancement pathways

Qualifications

• Hands-on experience with Azure data stack including ADF/Synapse.
• Expertise in Spark/PySpark, focusing on tuning and optimization.
• Strong programming skills in Python, producing modular and testable code.

Responsibilities

• Develop scalable ELT pipelines using Azure Databricks and orchestrate workflows.
• Build and maintain data marts in Snowflake utilizing data management features.
• Implement automated data-quality tests to ensure data reliability.

Skills

Cloud & Data Engineering

Big Data Processing

Database Mastery

Programming

CI / CD & Infrastructure-as-Code

Data Quality Focus

Tools

Azure Databricks

Snowflake

Terraform

Azure DevOps

Git

Job description

Our client is a Toronto-based firm founded by leading engineers and data scientists, with deep roots in capital markets and cloud engineering.

Our mission is to transform data into strategic assets for financial services firms —driving growth and innovation through tailored, modern solutions.

You’ll work on cutting-edge projects in asset management and wealth , handling large volumes of structured and unstructured data—free from legacy constraints. As part of a lean, agile team, you’ll have the autonomy to shape architecture, innovate, and deliver impactful solutions.

What You’ll Do

Design & Build : Develop scalable ELT pipelines using Azure Databricks (PySpark) and orchestrate workflows via ADF or Synapse .

Data Modeling : Build and maintain data marts in Snowflake , utilizing streams, tasks, clustering , and RBAC for efficient data access.

Quality Assurance : Implement automated data-quality tests using Great Expectations or dbt to ensure reliability and accuracy.

DevOps & Infrastructure : Deploy and manage infrastructure with Terraform and Azure DevOps , ensuring a stable production environment.

Performance Tuning : Work closely with our Platform Lead to optimize cost and performance (e.g., Spot pools, warehouse sizing).

Collaboration & Documentation : Write clear design docs, participate in code reviews, and actively share knowledge within the team.

Agile Environment : Contribute to sprints, demos, and retrospectives to continually improve our processes.

Must-Have Skills

Cloud & Data Engineering : Hands-on experience with the Azure data stack including ADF / Synapse and Databricks.

Big Data Processing : Expertise in Spark / PySpark, with a focus on tuning and optimization.

Database Mastery : Proficient in SQL and Snowflake, with solid knowledge of schema design and access controls.

Programming : Strong skills in Python, writing modular and testable code.

CI / CD & Infrastructure-as-Code : Experience with Git workflows, Terraform / Bicep, and CI / CD pipelines.

Data Quality Focus : A mindset geared toward building trust in data through automated validation and testing.

Nice-to-Haves

Experience in financial services or asset management data.

Knowledge of Databricks Delta Live Tables , dbt , or Apache Airflow .

Familiarity with observability tools like Datadog or Prometheus .

Experience mentoring junior engineers or facilitating agile ceremonies.

What’s In It for You?

A stimulating hybrid work environment with strong engineering values.

Autonomy and ownership over architecture and project delivery.

Competitive salary + performance bonus.

Comprehensive benefits and pathways for career advancement in a growing consulting firm focused on financial data.

Please send your resume and Linkedin to [emailprotected] , include a short note about a pipeline or data solution you're proud of

Note : Include a short note about a pipeline or data solution you're proud of.

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Senior Data Engineer • Toronto, ON, Canada