Data Engineer
Location: Toronto, ON, Hybrid, 3–4 days on-site per week
Language: Strong English communication skills required, both written and spoken
Duration: Permanent
Background Check Requirement: Successful completion of an employment background check
About the Opportunity
This is an opportunity to join a business-embedded analytics team where data engineering directly shapes decision-making. As a Data Engineer, you will build the foundations that enable reliable reporting, scalable analytics, and insight-driven outcomes across the organization.
Working within a reporting-heavy environment in the financial services sector, you will collaborate closely with analytics partners and business stakeholders. Your work will translate complex data into clarity, applying modern automation and AI-driven approaches to improve how data is accessed, trusted, and used.
What’s In It for You
You will join a collaborative, people-first team that values curiosity, ownership, and continuous improvement. This is a role where your ideas are welcomed, your technical depth is respected, and your impact is visible across the business.
You will gain exposure to advanced Azure data platforms, applied AI use cases, and enterprise-scale analytics. The environment supports professional growth, mentorship, and a culture that values thoughtful problem-solving and balance.
Your Responsibilities
• You’ll design, build, and maintain end-to-end data pipelines across on-premise data lakes and Azure Synapse Analytics.
• In this role, you’ll write and optimize production-grade SQL and PySpark code to support scalable analytics and reporting.
• You’ll automate ETL workflows and operational processes using Power Automate.
• You’ll prepare analytics-ready datasets and translate findings into business-relevant insights.
• You’ll apply AI approaches, including agentic and generative AI, to improve pipeline efficiency, monitoring, and reliability.
• You’ll collaborate with business and analytics partners, clearly communicating data concepts, limitations, and insights.
• You’ll contribute to engineering standards, documentation, and mentor peers within the team.
Skills and Qualifications
• 5+ years of experience in data engineering or analytics-focused data roles.
• Strong hands-on experience with Azure Synapse Analytics, including SQL and PySpark.
• Proven expertise in building automated data pipelines in hybrid environments.
• Advanced SQL skills for data extraction, analysis, and insight generation.
• Experience applying AI within data engineering workflows.
• Excellent communication skills, with the ability to explain technical concepts to non-technical audiences.
• A proactive problem-solver with a strong sense of ownership.
Nice to Have
• Experience with KNIME Analytics or similar low-code analytics tools.
• Exposure to Power BI or enterprise reporting platforms.
• Experience supporting AI-assisted analytics or advanced automation use cases.
• Background working within reporting-heavy, business-embedded analytics teams.
Note from the Hiring Manager
“We’re looking for someone who enjoys building reliable data foundations and partnering closely with the business. If you’re curious, collaborative, and excited about applying new ideas in a practical way, you’ll feel at home here.”
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.
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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.
