Location: Oshawa, ON, Hybrid, 3 days remote, 2 days remote 
Language: English, strong written and verbal communication skills required
Duration: 11-month contract
Background Check Requirement: Must be eligible to pass a graduated background check
Rates:$55-70/T4- $70-90/INC

About the Opportunity

Our client in the public sector is looking for experienced Azure and Databricks Data Engineers to help build and support modern, data-driven platforms that enable innovative, customer-centric digital experiences. This is a chance to contribute to large-scale data initiatives that directly support analytics, reporting, and digital services used across the organization.

You’ll join a collaborative, cross-functional agile team where data engineers, analysts, architects, and security partners work closely to solve complex problems together. Your work will help create trusted, high-quality data products that empower decision-making and support long-term innovation.

What’s In It for You

This opportunity offers exposure to enterprise-scale Azure environments and modern lakehouse architectures. You’ll work alongside experienced data professionals who value collaboration, knowledge sharing, and continuous improvement.

You’ll also benefit from a balanced work structure with a hybrid model, meaningful project ownership, and the chance to strengthen your skills across data engineering, governance, and DevOps practices in a supportive, people-first environment.

Your Responsibilities

• You’ll design, build, and support scalable ELT and ETL data pipelines using Azure and Databricks technologies.

• In this role, you’ll develop reliable data lake and data warehouse products that support analytics, applications, and innovation.

• You’ll collaborate with data architects and modelers to build curated, business-centric data models.

• You’ll ensure data is secure, well-governed, and high quality, applying lineage, testing, and access controls throughout the lifecycle.

• You’ll support BI and analytics teams by preparing and optimizing datasets for reporting and visualization.

• You’ll troubleshoot pipeline performance, data accuracy, and ingestion issues in production environments.

• You’ll contribute to agile delivery, documentation, peer code reviews, and continuous improvement initiatives.

Skills and Qualifications

• 5+ years of experience as a Data Engineer designing and building data pipelines

• University degree in computer science, engineering, or a related data-focused discipline

• Strong experience with Python, Spark, PySpark, SQL, and Azure Databricks

• Hands-on knowledge of Azure Data Factory, ADLS, Synapse Analytics, and related Azure services

• Experience working with data lakehouse and data warehouse architectures

• Solid understanding of data governance, data quality, and performance optimization

• Ability to clearly communicate technical concepts to non-technical stakeholders

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.