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. You’ll 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, you’ll combine hands-on development with thoughtful problem-solving. You’ll join a collaborative environment where strong technical practices, innovation, and continuous improvement are valued.

What’s In It for You
You’ll 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
• You’ll develop, maintain, and optimize scalable ETL pipelines for structured and unstructured data.
• You’ll design data architectures that align technical solutions with evolving business requirements.
• You’ll leverage Microsoft Fabric and Azure data services to store, process, and analyze large-scale datasets.
• You’ll monitor and troubleshoot pipelines, improving data quality, accuracy, availability, and warehouse performance.
• You’ll automate data ingestion, transformation, and storage processes to improve efficiency and reliability.
• You’ll collaborate with technical and business teams on analytics, machine learning, and reporting initiatives.
• You’ll 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.
• Strong 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 bachelor’s degree or equivalent experience. Microsoft Azure Data Engineer Associate or Fabric Analytics Engineer Associate certification is an asset.

Note from the Hiring Manager
“We’re 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.”

Why Partner with Altis
If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.

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.