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Senior Data Engineer -(Financial Services,Wealth Mgmt.,Capital markets)

TEEMA Solutions Group

Toronto · Hybrid Full-time Senior Today
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About the role

About

Our client is seeking 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

  • 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.)

Responsibilities (What You’ll Do)

  • 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
  • Support data migrations to modern cloud platforms (Snowflake / AWS / Databricks)
  • Mentor junior team members and contribute to a high‑performing team environment

Requirements

  • 7+ 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
  • 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
  • Collaborative, growth‑oriented environment
  • Opportunity to shape data architecture and strategy

Location

Downtown Toronto (Hybrid – 4 days onsite)

Apply

sasha@talenttohire.com

Job ID: J-18808-Ljbffr

Requirements

  • True senior‑level autonomy with ability to independently own and lead complex data initiatives end‑to‑end
  • Deep, hands‑on expertise across the full data lifecycle (source systems, ingestion, transformation, data modeling, orchestration, downstream consumption)
  • Strong system‑level thinking; ability to design scalable, reliable data architectures
  • Ownership mindset; takes responsibility for delivery, quality, and performance in production environments
  • Experience working within Canadian business environments, preferably financial services / asset management / wealth management
  • 7+ years of experience in data engineering
  • Strong experience with ETL tools: AWS Glue, EMR, Lambda
  • Scheduling tools: Airflow, CRON, Step Functions
  • Storage technologies: AWS S3, SFTP
  • CI/CD tools: Git, Jenkins, Terraform, CloudFormation
  • Strong understanding of modern data architecture and 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

Responsibilities

  • 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
  • Support data migrations to modern cloud platforms (Snowflake, AWS, Databricks)
  • Mentor junior team members and contribute to a high‑performing team environment

Benefits

High‑impact role with end‑to‑end ownershipWork on modern cloud data platformsCollaborative, growth‑oriented environmentOpportunity to shape data architecture and strategy

Skills

Data modelingData orchestrationETL/ELT pipeline developmentData governanceData lineageObservabilityCloud platforms (AWS, Snowflake, Databricks)Stakeholder collaborationMentoring

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