Sr. Data Engineer – Databricks

Job Title:

Senior Data Engineer – Databricks

Job

Location:

Toronto, Ontario – Hybrid

Overview
As a Senior Data Engineer, you will work on an enterprise-wide Centralized Data Platform (CDP) built on Databricks, contributing to our data infrastructure, API integrations, and future AI initiatives, while collaborating with data scientists, analysts, and business stakeholders to transform raw financial data into actionable insights; you will build and maintain data pipelines on the Databricks Lakehouse Platform using agile methodologies, develop scalable ETL/ELT processes, implement data quality controls, and ensure data governance standards are met, all within our AWS cloud environment to power critical business operations with the highest standards of data security and compliance.

This role offers the opportunity to work with cutting-edge technologies while solving complex data challenges in a global financial services environment. You’ll be part of a team driving technical excellence and innovation within the data engineering practice.

What you will be doing

Design and develop Databricks solutions leveraging Lakehouse architecture for enterprise data processing and analytics

Develop and optimize ETL/ELT pipelines

Create and manage structured streaming pipelines for real-time data processing

Configure and optimize Databricks clusters and Spark jobs for optimal performance

Utilize Delta Live Tables for data ingestion and transformations

Apply Unity Catalog features and IAM best practices for security governance and access control

Support infrastructure and resource management using Terraform

Participate in Agile/Scrum development process and collaborate with team members

Implement monitoring solutions for pipeline performance and data quality

Contribute to code reviews and knowledge-sharing sessions

What you must have

6+ years of experience in data engineering

2+ years of hands‑on experience with Databricks platform

Strong expertise in Python and Spark programming

Demonstrable experience in using AI in development

Proven experience with AWS or other similar cloud services

Deep understanding of data modeling and SQL

Experience with Delta Lake and Lakehouse architecture

Strong knowledge of ETL/ELT principles and patterns

Experience with version control systems (Git)

Demonstrated ability to optimize data pipelines

Strong problem‑solving and analytical skills

Excellent communication and collaboration abilities

Nice to have

Financial services industry experience

Experience with multiple cloud providers

Knowledge of AI/ML implementation patterns

API development experience

Experience with real-time data processing

Data governance framework experience

Salary/Rate Range: $ – $

Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.

For more information about TEEMA and to consider other career opportunities, please visit our website at

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