Senior Data Engineer: Cloud Pipelines & Leadership

Tactable

Toronto

Hybrid

CAD 140,000 - 190,000

Full time

45 hours ago
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Job summary

Tactable in Toronto, Canada, is hiring a Senior Data Engineer (Cloud, Python) to solve real-world data challenges for enterprise clients. This hands-on, hybrid role combines infrastructure, pipelines, and product work, with ownership of architectural decisions and platform migrations.

You will mentor colleagues, design scalable data platforms, and work across finance, trading, and enterprise tech. If you thrive in a fast-paced, collaborative environment, join a team building cloud-native data

Qualifications

  • 8+ years of experience in data engineering or software engineering roles.
  • Strong programming skills in Python.
  • Deep experience building and maintaining production-grade data pipelines.
  • Strong SQL skills with structured and unstructured data.
  • Hands-on experience with cloud infrastructure (Azure preferred).
  • Experience with CI/CD pipelines and infrastructure-as-code practices.
  • Familiarity with data orchestration tools (Airflow, dbt).
  • Experience with containerized environments (Docker, Kubernetes).

Responsibilities

  • End-to-End Data Engineering: Build scalable, reliable ETL/ELT pipelines using Python and SQL.
  • Design and maintain batch and near-real-time data workflows using Python-based frameworks.
  • Integrate diverse data sources from Azure Blob, ADLS, and both relational and non-relational systems.
  • Migrate legacy data architectures into modern, cloud-native environments.
  • Optimize workloads for performance, cost, and fault tolerance.
  • Ensure data quality, observability, and reliability across pipelines.

Skills

Python
SQL
Data pipelines
Azure
CI/CD
Airflow
dbt
Docker
Kubernetes

Tools

Docker
Kubernetes
Airflow
dbt

Job description

Tactable in Toronto, Canada, is hiring a Senior Data Engineer (Cloud, Python) to solve real-world data challenges for enterprise clients. This hands-on, hybrid role combines infrastructure, pipelines, and product work, with ownership of architectural decisions and platform migrations.

You will mentor colleagues, design scalable data platforms, and work across finance, trading, and enterprise tech. If you thrive in a fast-paced, collaborative environment, join a team building cloud-native data

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