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

Senior Data Engineer - Financial Services / Wealth / Capital Markets

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
• Own full lifecycle delivery: design, build, test, deploy
• 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

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

Desired Skills (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

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