Tech Lead - Azure Data Engineer

Maarut Inc; Montreal; On-site; CAD 120,000 - 180,000; Full time

Job summary

Maarut Inc is seeking a Data Engineering Tech Lead who has led developers on Azure ingestion pipelines (Data Factory, Data Lake, Synapse, Azure SQL) in large organizations, and still codes daily. This role requires hands-on expertise and strong architectural skills to drive scalable data solutions.

The candidate will mentor teams, promote best practices, and contribute to continuous integration and testing efforts while delivering high-impact data platforms."

Qualifications

• Experience leading developers in large organizations and hands-on coding daily.
• Strong ETL knowledge and data modeling (relational and dimensional).
• Experience with Azure data services (Data Factory, Data Lake, Synapse, Azure SQL).
• Familiar with TDD, automated testing, CI/CD pipelines.
• Experience with source control and deployment.

Responsibilities

• Lead data engineering teams and drive ingestion pipelines in Azure.
• Architect and implement end-to-end data solutions; code daily.
• Propose refactoring improvements and mentor peers.

Skills

Azure data engineering

ETL architecture

Data Factory

Data Lake

Synapse

Power BI

Unit testing (TDD)

CI/CD

GitHub

GitHub Actions

Concourse

Code reviews

Event-driven design

Tools

GitHub

GitHub Actions

Concourse

Power BI

Job description

Data engineering Tech Lead who has led developers on Azure ingestion pipelines (Data Factory, Data Lake, Synapse, Azure SQL) in large organizations, and still codes daily. Their practice includes TDD, automated testing and continuous integration, and they can propose refactoring fixes to peers with tact.

Requirements

• Working within standardized processes
• Hands-on developer experience in large organizations
• Excellent ETL knowledge
• Functional knowledge
• Relational and dimensional models
• Unit testing (TDD), UI testing, automated testing, continuous integration
• Source control and deployment (GitHub, GitHub Actions, Concourse)
• Power BI (Desktop, Service, components including gateway)
• Architecture patterns: object-oriented, cloud (IaaS, CaaS, PaaS, SaaS, iPaaS), application resilience, event-driven