Location:
Hybrid, 3 days onsite (subject to hiring manager discretion)

Language:
Excellent written and verbal English communication skills are required.

Duration:
Contract

Background Check Requirement:
Background check may be required.

About the Opportunity
Join a collaborative public sector technology team that is modernizing enterprise data and analytics capabilities through cloud-first solutions. This opportunity is ideal for an experienced Data Engineer who is passionate about designing scalable data platforms, building modern analytics solutions, and helping organizations make smarter, data-driven decisions.

Working alongside architects, developers, and business stakeholders, you'll play a key role in transforming legacy data environments into modern Databricks-based solutions. You'll contribute to high-impact initiatives while helping establish best practices, reusable frameworks, and development standards that support long-term success.

What's In It for You
• Competitive pay rate of up to $75/hour (incorporated)
• Opportunity to work on large-scale cloud modernization initiatives
• Exposure to modern Azure data technologies and enterprise data platforms
• Collaborative Agile environment that values knowledge sharing and continuous improvement
• Meaningful work supporting critical public sector services

Your Responsibilities
• You'll collaborate with cross-functional product teams to analyze requirements, design, develop, and implement cloud-based data and analytics solutions.
• You'll design, build, and maintain Azure-based data lakes, lakehouses, automated data pipelines, and analytics models.
• You'll support the migration of legacy Azure Synapse Analytics and Azure Data Factory pipelines into Databricks solutions leveraging Delta Lake and native orchestration capabilities.
• You'll develop reusable frameworks and standards that simplify data pipeline development and improve consistency.
• You'll participate in code reviews, knowledge transfer sessions, and documentation to promote quality, collaboration, and best practices.
• You'll troubleshoot complex technical issues, recommend effective solutions, and support operational excellence across cloud data platforms.

Skills and Qualifications
• 5+ years of experience working within Microsoft Azure data environments.
• 5+ years of hands-on data engineering experience using Azure Data Factory, Azure Databricks, Python, and SQL.
• Proven experience designing and maintaining cloud-based data lakes, lakehouses, and automated data pipelines.
• Experience working with Medallion Architecture, with exposure to Databricks Unity Catalog considered an asset.
• Experience with Azure Storage, Azure Data Lake, Azure Synapse Analytics, Power BI, GitHub, and CI/CD practices.
• Experience participating in Agile delivery teams, conducting peer code reviews, and preparing knowledge transfer documentation.
• Strong analytical, problem-solving, communication, and stakeholder collaboration skills.

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.