Toronto, On Lead python full stack data engineer Jobs – 159 Openings This Week

Senior Data Engineer ( Databricks / Financial sector)
Talent To Hire Inc. —Toronto, ON
- $120,000–$130,000 a year
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick apply
14d
Data Architect
Infostrux Solutions —Toronto, ON
- Full-time
- Remote
- Azure
- Oracle
- Java
- Flexible schedule
3h
Data Architect
Infostrux Solutions Inc —Toronto, ON
- $120,000–$170,000 a year
- Remote
- Azure
- Oracle
- Java
- Flexible schedule
8h

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Senior Data Engineer ( Databricks / Financial sector)

Talent To Hire Inc.
Toronto, ON

Quick apply

Job details

Full-time
$120,000–$130,000 a year
14 days ago

Qualifications

SFTP
Azure
Git
Google Cloud Platform
SQL
AWS
PostgreSQL
Terraform
APIs
S3
Financial services
DynamoDB
Jenkins
Communication skills
Python
MySQL

Full job description

Senior Data Engineer

We are hiring a Senior Data Engineer to join a high-impact Data & Analytics team supporting enterprise data platforms. This is a hands-on role for someone who can own end-to-end data initiatives, from design through deployment, and build scalable data solutions that drive business insights and decision-making. What We’re Looking For is hands-on practical knowledge with modern cloud data platforms (Databricks, Snowflake). In particular, we are looking for candidates who demonstrate the following:

True senior-level autonomy – ability to independently own and lead complex data initiatives end-to-end with minimal oversight
Deep, hands-on expertise across the full data lifecycle – including source systems, ingestion, transformation, data modeling, orchestration, and downstream consumption, with full accountability for production-ready solutions
Strong system-level thinking – able to design scalable, reliable data architectures beyond just tools and frameworks
Ownership mindset – takes responsibility for delivery, quality, and performance in production environments
Experience working within Canadian business environments ( financial services / Asset Mgmt. Wealth Mgmt.)

You will play a key role in building modern data pipelines, enabling analytics, and supporting data-driven products.

What You’ll Do

Own full lifecycle delivery: design, build, test, deploy
Support data migrations to modern cloud platforms (Snowflake / AWS / Databricks)
Partner with business stakeholders and data teams to gather and translate requirements into scalable solutions
Design and implement robust data architectures and workflows
Build and maintain ETL/ELT pipelines across multiple data sources
Develop high-performance, scalable data pipelines for analytics and reporting
Troubleshoot production issues and ensure data reliability and system stability
Implement data governance, lineage, and observability best practices
Mentor junior team members and contribute to a high-performing team environment

Tech Stack / Requirements

7+ years in Data Engineering
Strong experience with:
- SQL, Python, APIs, CDC pipelines
- Cloud platforms: AWS / Azure / GCP
- Data platforms: Snowflake, Databricks, PySpark
- ETL tools: AWS Glue, EMR, Lambda
- Scheduling: Airflow, CRON, Step Functions
- Databases: PostgreSQL, MySQL, DynamoDB
- Storage: AWS S3, SFTP
- CI/CD: Git, Jenkins, Terraform, CloudFormation

What We’re Looking For

Strong understanding of modern data architecture & pipeline design
Experience building scalable, production-grade data systems
Solid experience with data observability and lineage
Proven ability to own projects end-to-end
Strong communication and stakeholder collaboration skills

Experience in financial services / wealth / capital markets
Experience with large-scale data migration projects

Why Join

High-impact role with end-to-end ownership
Work on modern cloud data platforms
Collaborative, growth-oriented environment
Opportunity to shape data architecture and strategy

Location

Downtown Toronto (Hybrid -4 days onsite)

Apply: [email protected]

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