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Data Engineer (Intermediate)

Workiy Inc.

Role overview

Qualifications

  • Post-secondary degree, diploma, or certificate in Computer Science or a related field.
  • 5+ years of hands-on experience with Python and SQL for data engineering.
  • 4+ years of experience using GitHub/Git for version control and collaborative development.
  • 3+ years of experience with Azure Infrastructure and Services, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Building scalable data pipelines, Designing analytics-ready data platforms.

Responsibilities

  • Design, build, and maintain scalable Azure-based data solutions.
  • Enable analytics, reporting, regulatory compliance, and AI initiatives.
  • Support the Digital Regulatory Assurance System (DRAS).

About the company

Workiy Inc. logo

Workiy Inc.

IT Services & IT Consulting

Workiy provides digital solutions and staffing services, utilizing our patented delivery model and a unique and flexible, client-centric approach to tackling technology's biggest challenges. We don’t have “clients” we have partners! Our mission is to enable your talented teams and amazing systems to assist your business in optimally achieving its goals. The Workiy team, brings to the table, more than 20+ years of experience in the technology industry across many verticals in both the private and public sector.

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size11 - 50

Links

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Job description

This is a remote position.

We are seeking an experienced Intermediate Data Engineer to support the Digital Regulatory Assurance System (DRAS), a strategic initiative focused on modernising environmental and natural resource regulatory processes. The successful candidate will design, build, and maintain scalable Azure-based data solutions that enable analytics, reporting, regulatory compliance, and future AI initiatives.

Requirements

Mandatory Qualifications

  • Post-secondary degree, diploma, or certificate in Computer Science or a related field.
  • 5+ years of hands-on experience with Python and SQL for data engineering.
  • 4+ years of experience using GitHub/Git for version control and collaborative development.
  • 3+ years of experience with:
    • Azure Infrastructure and Services
    • Azure Databricks
    • Azure Data Factory
    • Azure Synapse Analytics
    • Building scalable data pipelines
    • Designing analytics-ready data platforms
  • 2+ years of experience in data governance, metadata management, and security within Azure Databricks environments.
  • 1+ year of experience using AI-driven tools for code generation, automation, or development productivity.

Preferred Qualifications

  • Experience with Microsoft SQL Server.
  • Experience building scalable ETL pipelines.
  • Experience with Microsoft Fabric.
  • Experience designing and integrating RESTful APIs.
  • Experience working with ServiceNow data integrations.
  • Experience with Azure-based cloud environments in the Government of Alberta.
  • Experience with message queuing technologies.
  • Strong understanding of data warehousing, data modelling, and enterprise analytics.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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