Jobs in Canada

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Added 1 month ago
HG
Sales Development Representative
Harris Global Business Services (GBS)
Toronto, ON
- Full-time
TouchBistro is looking for a Sales Development Representative to join our Sales team in Toronto! Joining our SDR team, you will promote TouchBistro and build relationships with restaurant…
Added 1 month ago
FC
Head of Product
Fintel Connect
Vancouver, BC
- Full-time
We are hiring a Director of Product to lead Fintel Connect's product team and own how development effort is allocated across our platform. You are accountable for three things: the quality…
Added 1 month ago
S
Director, Technical Program Management
Seismic
Canada
- Full-time
…intelligence into winning action. Through its AI revenue execution platform, the company equips customer-facing teams with the insights, governance, and contextual guidance they need to…
Added 1 month ago
AM
Senior Embedded BIOS/Firmware Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…highest quality, industry-leading technologies to market. The Software Systems Design Engineering team fosters and encourages continuous technical innovation to showcase successes as well…
Added 1 month ago
PS
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
- Full-time
Lead, design, develop and deliver large-scale data systems, data processing, data transformation, and data platform modernization initiatives.
Added 1 month ago
Business Systems Analyst
Superior Plus Propane Talent Acquisition
Canada
Working with business stakeholders, facilitate or lead business process re-design as an integral part of solution development and implementation.
Added 1 month ago
Technical Customer Support Specialist – Level 3
Quadbridge
Vancouver, BC
Lead major or high-impact technical investigations, coordinate internal and vendor resources, and provide clear executive-ready updates when required. Translate complex technical findings…
Added 1 month ago
SL
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Corporate IT is seeking an experienced Lead AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 1 month ago
GC
Director, Enterprise Applications
Gateway Casinos and Entertainment Limited
Burnaby, BC
- Contract
Lead the full product lifecycle from intake and prioritization through delivery, adoption, and optimization.
Added 1 month ago
I
Lead Java Developer
INFOYA
Toronto, ON
- $110,000 to $115,000 CAD / year
- Full-time
Work Arrangement: Hybrid (2 days in office)
Added 1 month ago
G
Senior Event Operations Manager
Geotab
Oakville, ON
- Full-time
…to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to…
Added 1 month ago
IG
Digital Product Manager
Insight Global
Toronto, ON
- $70 to $78 CAD / hour
- Contract
…ensuring successful partner and technology integration with the platform. This role will be 20% strategic roadmap development and requirement gathering, and 80% agile delivery. You will…
Added 1 month ago
SP
Business Systems Analyst
Superior Propane
AB · Alberta, Canada
- Contract
Working with business stakeholders, facilitate or lead business process re-design as an integral part of solution development and implementation.
Added 1 month ago
T
Software Engineer (Application Platform/Tech Lead)
TrustFlight
Vancouver, BC
- Full-time
As a Software Engineer – Application Platform, you’ll help build secure, scalable platform foundations, especially around identity, authentication, and core system design. Beyond your…
Added 1 month ago
K
Senior Corporate Counsel, Commercial (US East)
Kong
Toronto, ON
- $171,430 to $259,594 USD / year
- Full-time
Lead complex SaaS and on-premises commercial negotiations
Added 1 month ago
CO
HRIS (Workday) Implementation Project Specialist (26-252)
City of Cornwall
Cornwall, ON
- $89,441 to $100,692 CAD / year
- Contract
Support the integration of Labour Relations requirements into the HRIS platform by assisting with the planning, development, and implementation of related protocols, policies, programs,…
Added 1 month ago
JG
Salesforce Technical Lead
J&M Group
Montreal, QC
- Contract
Lead development teams and perform technical reviews to ensure quality, performance, and maintainability.
Added 1 month ago
P
Front End Developer - React (12 month Contract)
Pelmorex
Oakville, ON
- Full-time
- Contract
…and product vision, and you will partner directly with a Tech Lead to learn the ins and outs of our infrastructure, technical requirements, and architecture. You will operate with a…
Added 1 month ago
P
Technical Project Manager
PocketHealth
Toronto, ON
- Full-time
PocketHealth exists to change that. Our flagship imaging platform gives patients direct, secure access to their medical images and records, trusted by hundreds of hospitals and clinics…
Added 1 month ago
LA
Remote Senior Full-Cycle Sales Closer for B2B Trades Digital Marketing Agency
Limitless Agency
Remote, Canada
- Full-time
- Remote
…first contact through close, with a strong emphasis on fast lead response, qualification, consultative selling, disciplined follow-up, and closing recurring marketing engagements. Most…
Added 1 month ago
RB
Senior Director - Chief Developer and AI Adoption
Royal Bank of Canada
Toronto, ON
- Full-time
The successful candidate will champion developer productivity, modern engineering practices, cloud and platform capabilities, reusable technology services, and the adoption of AI-assisted…
Added 1 month ago
TB
Workday Analyst
Tilray Brands, Inc.
Toronto, ON
- $80,000 to $90,000 CAD / year
- Full-time
Must have technical knowledge and configuration experience on Workday HCM, Recruitment, Absence, Time Tracking, and Benefits modules
Added 1 month ago
FN
AI Quality and Evaluation Lead
First National Financial LP
Toronto, ON · East York, ON
- Full-time
We are hiring a AI Quality and Evaluation Lead, Application Development!
Added 1 month ago
EB
Senior ServiceNow Engineer
EQ Bank
Toronto, ON
- Full-time
Lead the design, development, and implementation of complex ServiceNow features, modules, and integrations.
Added 1 month ago
FN
AI Engineer
First National Financial LP
Toronto, ON · East York, ON
- Full-time
…monitoring, and controlled access to model providers, and raise platform gaps to the AI Engineering Lead and the Technical Product Manager rather than building parallel platform…

Publicis Sapient

Senior Associate Data Engineering (Azure/Databricks) Hybrid

Toronto, ON, Canada

Salary Range: $115,000 - $160,000 · Full-time

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Job details

Pay: Salary Range: $115,000 - $160,000
Job type: Full-time
Posting language: English
Posted: Sep 22, 2026

Original job description

Job Description

Senior Associate, Data Engineering

Publicis Sapient is looking for a Senior Associate Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data and AI engineering technologies in the industry, you will be instrumental in helping our clients evolve for a more digital and AI-enabled future.

Your Impact:

Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end data solutions that transform our clients’ business.
Translate client requirements into system design and develop solutions that deliver measurable business value.
Lead, design, develop and deliver large-scale data systems, data processing, data transformation, and data platform modernization initiatives.
Build and optimize batch and streaming data pipelines across modern cloud data platforms and distributed processing frameworks.
Support AI-enabled engineering use cases by designing high-quality data foundations, retrieval patterns, context engineering approaches, and scalable data services that power agentic and machine learning solutions.
Automate data platform operations and manage post-production systems, observability, quality, reliability, and operational processes, including telemetry pipelines that capture prompt, response, trace, latency, token, and cost data for AI-enabled services in a query able form.
Conduct technical feasibility assessments and provide project estimates for the design and development of solutions.
Mentor, support, and grow junior team members while contributing hands-on to delivery.

Qualifications

Your Skills and Experience:

Demonstrable experience implementing end-to-end data pipelines and production-grade data platforms.
Hands-on experience with at least one leading public cloud data platform: Amazon Web Services, Microsoft Azure, or Google Cloud Platform;
Hands-on experience with Azure Cloud Services, including Azure Data Lake Storage (ADLS), Azure Functions, Azure Kubernetes Service (AKS), and Azure Databricks.
Experience with Databricks as a data engineering platform is strongly preferred, including working with notebooks, jobs, Delta Lake, or similar lakehouse patterns.
Strong Python proficiency and practical experience using Python-based tooling for data engineering, automation, platform development, or AI engineering workflows.
In-depth knowledge of Scala, Apache Spark, PySpark, Python, Java, and shell scripting.
Implementation experience with column-oriented database technologies such as BigQuery, Redshift, Vertica, or similar platforms; NoSQL database technologies such as DynamoDB, Bigtable, Cosmos DB, or similar; and traditional database systems such as SQL Server, Oracle, or MySQL.
Experience implementing data pipelines for both streaming and batch integrations using tools and frameworks such as Glue ETL, Lambda, Google Cloud Dataflow, Azure Data Factory, Spark, Spark Streaming, or similar technologies.
Proficiency using Apache Airflow to orchestrate complex data workflows.
Experience with data modeling, warehouse design, fact/dimension implementations, and modern lakehouse or data mesh patterns.
Experience with code repositories, continuous integration, automated testing, release management, and production support practices.
Familiarity with MLOps concepts and the data engineering responsibilities required to support AI/ML deployment, validation, monitoring, rollback, and operational reliability.
Ability to handle module or track-level responsibilities while contributing to tasks hands-on.
Good communication skills and willingness to work as part of a collaborative, cross-functional team.

AI Engineering & Modern Data Platform Experience:

Exposure to AI engineering patterns, including context engineering, retrieval-augmented generation support patterns, agent architectures, and production data services that support AI-enabled experiences.
Experience building and maintaining the pipelines behind retrieval systems, including document parsing, chunking, metadata extraction, embedding generation, and incremental reindexing, alongside the vector databases, graph databases, semantic search, and knowledge retrieval structures they feed.
Exposure to agentic platforms or cloud AI services such as Vertex AI, Azure AI services, AWS AI services, or comparable platforms; specific platform experience is less important than understanding how AI engineering differs from traditional data engineering.
Practical experience deploying agents, integrating agent frameworks, or supporting agentic workflows in production or near-production environments is a plus.
Experience building evaluation data infrastructure for AI systems, including ground-truth and golden datasets, offline evaluation pipelines, and the data scaffolding behind LLM-as-judge and regression testing.
Experience modeling and persisting agent state, including session context, conversation history, and memory stores, treating them as a durable storage and data modeling problem rather than an application detail.
Support AI-enabled engineering use cases by designing high-quality data foundations, retrieval patterns, context engineering approaches, and scalable data services that power agentic and machine learning solutions, applying the same lineage, provenance, and data contract rigor to context and retrieval sources that you would to a production warehouse.
Experience with agentic harnesses or orchestration tools such as Pi, Hermes Agent, or similar platforms is a plus, but not required.
Experience with Snowflake and zero-copy architecture patterns is a plus, particularly for retail, financial services, energy, or CPG-oriented use cases.

Set Yourself Apart With:

Developer certifications for AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related cloud/data platforms.
Demonstrated experience applying AI engineering concepts in practical business environments rather than only academic or research settings.
Hands-on experience supporting AI/ML and LLM lifecycle needs such as model deployment support, monitoring, validation, shadow deployments, release management, and evaluation or data quality measurement for both predictive models and generative systems.
Experience in retail, financial services, energy, CPG, logistics, manufacturing, or other data-rich industries where applied AI and large-scale data engineering are used to solve operational or client-facing problems.
Good understanding of capital markets domain requirements, particularly FINRA compliance.
Understanding of Agile, product, and delivery methodologies in consulting or client-facing environments.

Additional Information

Salary Range: $115,000 - $160,000

The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work.

An inclusive workplace that promotes diversity and collaboration.
Access to ongoing learning and development opportunities.
Competitive compensation and benefits package.
Flexibility to support work-life balance.
Comprehensive health benefits for you and your family.
Generous paid leave and holidays.
Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

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 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

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More about this job

Responsibilities

You will lead and deliver large-scale data systems, data processing, and platform modernization initiatives for digital transformation projects. Additionally, you will design high-quality data foundations and retrieval patterns to support AI-enabled engineering use cases.

Requirements

Candidates must have demonstrable experience implementing end-to-end data pipelines and production-grade data platforms on public cloud services like Azure. Proficiency in Python, Spark, and modern data engineering frameworks is required, along with experience in AI engineering patterns.

Skills

Azure
Databricks
Python
Spark
Data engineering
Cloud platforms
Data pipelines
AI engineering
Delta Lake
Kubernetes
SQL
NoSQL
Apache Airflow
Data modeling
MLOps
Retrieval-augmented generation

Benefits

Health benefits
Paid leave
Holidays
Wellness program
Employee assistance
Learning and development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Azure
Databricks
Python
Spark
Delta Lake
Kubernetes
Data Engineering
AI Engineering
Cloud Computing
Data Pipelines
NoSQL
SQL
Apache Airflow
MLOps
Retrieval-Augmented Generation
Data Modeling
Data Mesh
BigQuery
Redshift
Cosmos DB
Vertex AI
Agile
Consulting
Digital Transformation
Telemetry
Vector Databases
LLM
Data Warehouse
Automation
Distributed Systems

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Jobs in Canada