Senior Data Engineer

Hays

Join a top-tier retail environment as a Senior Data Engineer, focusing on high-impact data projects with AI and ML applications.

Last checked on June 20, 2026. We may earn a commission when you click through.

Advertisement

The position offers a unique chance to work on significant data initiatives, ideal for experienced data engineers. However, the lack of remote options may deter some candidates.

✓ High-impact projects ✓ Focus on AI and ML applications ✓ Reputable company in the industry

Senior Data Engineer

Hays

Updated 16 days ago
Apply now

You'll be redirected to ca.talent.com

Toronto

The position offers a unique chance to work on significant data initiatives, ideal for experienced data engineers. However, the lack of remote options may deter some candidates.

About this role

Join a top-tier retail environment as a Senior Data Engineer, focusing on high-impact data projects with AI and ML applications.

About the Company

Hays is a leading recruitment agency in Canada, specializing in connecting talent with top employers across various industries.

Key Highlights

  • Experience in retail or eCommerce required
  • Work with Vertex AI and applied AI/ML use cases
  • Opportunity for high-impact projects

💡 Honest Take: This role suits those with a strong background in data engineering and a passion for AI in retail.

Pros

  • High-impact projects
  • Focus on AI and ML applications
  • Reputable company in the industry

Cons

  • No remote work options
  • Specific industry experience required

Best For: This role is tailored for experienced professionals with a background in data engineering and retail or eCommerce.

Watch Out: Candidates should note the lack of flexibility in work location.

Apply for this position

You'll be redirected to ca.talent.com

Expert Review

This Senior Data Engineer role presents an exciting opportunity to engage in high-impact projects within a reputable retail company. Retail or eCommerce experience is crucial, alongside familiarity with Vertex AI or applied AI/ML use cases. This emphasis on specific industry knowledge can narrow the candidate pool, potentially excluding talented engineers from other sectors.

The position is situated in Toronto, a vibrant hub for tech talent, but the absence of remote work options could limit appeal to those seeking flexibility. As companies increasingly adopt hybrid work models, this could be a critical downside for prospective applicants.

The role promises to be rewarding for those passionate about data-driven strategies in retail. However, candidates without the required industry experience may find it challenging to compete. Overall, this position is ideal for professionals who thrive in dynamic environments and are eager to drive innovation in data engineering.

You might also like

Related Articles