Location:

Ottawa or Toronto Language:

English, strong written and spoken communication skills Salary:

$90,000$120,000 annually

About the Opportunity This is an exciting opportunity for an experienced Data Engineer to help shape reliable, scalable data infrastructure that supports smarter decision-making across the organization. Youll design and optimize the pipelines and architectures that make high-quality data accessible for analytics, reporting, and emerging machine learning initiatives.

Working alongside business analysts, software engineers, and other technical partners, youll combine hands-on development with thoughtful problem-solving. Youll join a collaborative environment where strong technical practices, innovation, and continuous improvement are valued.

Whats In It for You Youll have the opportunity to work with modern Microsoft and Azure technologies, including Microsoft Fabric, while solving meaningful data challenges at scale. This role offers exposure to diverse projects and stakeholders, with opportunities to deepen your technical expertise and contribute new ideas in a workplace that values innovation and collaboration.

Your Responsibilities Youll develop, maintain, and optimize scalable ETL pipelines for structured and unstructured data. Youll design data architectures that align technical solutions with evolving business requirements. Youll leverage Microsoft Fabric and Azure data services to store, process, and analyze large-scale datasets. Youll monitor and troubleshoot pipelines, improving data quality, accuracy, availability, and warehouse performance. Youll automate data ingestion, transformation, and storage processes to improve efficiency and reliability. Youll collaborate with technical and business teams on analytics, machine learning, and reporting initiatives. Youll support data security, governance, compliance, and technical documentation standards.





Skills and Qualifications 5+ years of data engineering experience, with strong knowledge of data warehousing, data modeling, and architecture. 3+ years of hands-on T-SQL experience with Microsoft SQL Server and 5+ years working with ETL tools and frameworks, including Azure Data Factory. 2+ years of Python experience for data manipulation and automation. Robust experience with Microsoft Azure, including Azure Data Lake, Azure Synapse, and Azure SQL Database. Practical experience with Microsoft Fabric, with Power BI knowledge considered an asset. Familiarity with Azure Stream Analytics, machine learning pipelines, model deployment workflows, and data governance tools is preferred. A related bachelors degree or equivalent experience. Microsoft Azure Data Engineer Associate or Fabric Analytics Engineer Associate certification is an asset.

Note from the Hiring Manager Were looking for someone who brings strong technical expertise but also enjoys collaborating and solving problems with others. This is a great opportunity for someone who wants to bring new ideas forward while helping us build scalable, dependable data solutions.

We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals.All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.

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📌 Data Engineer (MS Fabric) (Winnipeg)
🏢 Altis Technology
📍 Winnipeg