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

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 6+ years

in Data Engineering Strong experience with: ETL tools:

AWS Glue, EMR, Lambda Scheduling:

Airflow, CRON, Step Functions Storage:

AWS S3, SFTP CI/CD:

Git, Jenkins, Terraform, CloudFormation What We’re Looking For

Canadian University degree 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 Nice to have: 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 Cooperative, growth-oriented environment Opportunity to shape

data architecture and strategy Location

Downtown Toronto (Hybrid -4 days onsite)

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📌 Senior Data Engineer ( Snowflake/ dbt/ AWS) (Winnipeg)
🏢 TEEMA Solutions Group
📍 Winnipeg