PU

Senior Associate Data Engineering (Azure/Databricks) Hybrid

Toronto, Ontario
On-site
Full-time
No salary posted1 weeks ago
Employment type
Full-time · On-site
Posted
September 24, 2026
Province
Ontario (ON)

Hiring confidence: Sparse posting · 11/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

This is only part of this posting — the job board it came from publishes a short summary. Read the full posting.
Company description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,…

This role is based in Ontario. Publicis Groupe Holdings B.V is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Senior Associate Data Engineering (Azure/Databricks) Hybrid in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

  • Proven experience with Azure cloud platform
  • Hands-on experience with Databricks
  • Strong data engineering fundamentals
  • Experience with ETL/ELT processes
  • Knowledge of distributed systems and big data technologies

Fit check

Is this role right for you?

Top skills this posting asks for:

  • Azure
  • Databricks
  • Data Engineering

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What you'll do

  • Design and develop data pipelines on Azure/Databricks
  • Transform and optimize data architectures
  • Collaborate with cross-functional teams on digital transformation initiatives
  • Support established organizations in their digital evolution
  • Apply modern engineering practices and problem-solving approaches
  • Contribute to cloud-native solutions

What you'll need

  • Proven experience with Azure cloud platform
  • Hands-on experience with Databricks
  • Strong data engineering fundamentals
  • Experience with ETL/ELT processes
  • Knowledge of distributed systems and big data technologies
  • Professional experience in data engineering role

About the Company

PU

Publicis Groupe Holdings B.V