Jobs in Canada

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Added 1 month ago
Advanced Analytics and AI Lead
EY
Toronto, ON
At EY, we’re all in to shape your future with confidence.
Added 1 month ago
T
Senior Software Development Engineer in Test
Trackforce
Montreal, QC
- Full-time
…be responsible for designing and implementing complex test automation frameworks, driving quality across the software development lifecycle, and elevating the engineering team’s overall…
Added 1 month ago
P
Senior Python Automation Developer (Microsoft Dynamics 365 & Dataverse)
PLATO
Ottawa, ON · Calgary, AB · Sault Ste. Marie, ON · Vancouver, BC · Prince Albert, SK · Regina, SK · Gatineau, QC · BC · Winnipeg, MB · Fredericton, NB · Toronto, ON · Halifax, NS
- Full-time
We are seeking an experienced Senior Python Automation Developer to design, build, and enhance scalable test automation solutions for Microsoft Dynamics 365 (D365) and Dataverse…
Added 1 month ago
KS
ETL Testing
Kumaran Systems
Toronto, ON
- Full-time
Experience with automated testing frameworks (Python-based testing libraries such as pytest, unittest, or similar).
Added 1 month ago
Staff DevOps Developer
Visier Solutions Inc
Vancouver, BC
Production Python & Integration Layer: Write tested, maintainable Python application code, build resilient API integrations with core source systems (Salesforce, ServiceNow, Gong,…
Added 1 month ago
FN
QA Engineer
First National Financial LP
Toronto, ON · East York, ON
- Full-time
Practical experience with test automation and delivery tooling such as Playwright, Cypress, Selenium, Postman, Python, .NET test frameworks, SQL, Git based workflows, CI/CD, defect…
Added 1 month ago
A
AI Computer Vision Engineer
AssistIQ
Remote, Canada
- Full-time
- Remote
We would expect you to be knowledgeable, articulate, sensible, able to coordinate with other peers and senior executives, and collaborate and deliver results in a fast-paced environment…
Added 1 month ago
PO
Senior Software Developer
P&P Optica
Waterloo, ON
- $110,000 to $115,000 CAD / year
- Full-time
PPO is looking for a Senior Software Developer to design and implement high-quality software across our product ecosystem. This is a broad, high-impact engineering role: you'll spend most…
Added 1 month ago
F
Senior QA Developer (Agent Security)
Fortinet
Burnaby, BC
- Full-time
Strong API-level testing (Postman or scripting) and solid test automation / scripting skills (Python or equivalent).
Added 1 month ago
E
QA Analyst
EXFO
Montreal, QC
- Full-time
Solides compétences en programmation ou en script avec Java, JavaScript/TypeScript, Python, Go ou des langages comparables.
Added 1 month ago
PS
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
- Full-time
Strong Python proficiency and practical experience using Python-based tooling for data engineering, automation, platform development, or AI engineering workflows.
Added 1 month ago
EA
AI/ML Data Engineer
Electronic Arts (EA)
Vancouver, BC
- Temporary
…character pipeline stack. You will write clean, production-quality Python code, using USD schemas to connect training environments with digital content creation software such as Autodesk…
Added 1 month ago
FN
AI Quality and Evaluation Lead
First National Financial LP
Toronto, ON · East York, ON
- Full-time
Strong analytical and technical skills with Python, SQL, test automation, data analysis, statistical methods, and evaluation tooling such as MLflow, Ragas, DeepEval, or comparable…
Added 1 month ago
Technology and AI Manager
Connex Telecommunications Inc.
Hamilton, ON
…work and identify opportunities to responsibly apply AI and automation across DIT's technology operations, internal processes, and client…
Added 1 month ago
TC
Sr. Production Support Analyst
Tata Consultancy Services
Toronto, ON
- $90,000 to $120,000 CAD / year
- Full-time
Develop and maintain automation scripts using Shell scripting and Python.
Added 1 month ago
I
Software Developer Specialist - Security Product
Intact
Toronto, ON
- Full-time
…how secure software is developed and deployed. You will craft automation platforms, intelligent services, and self‑service experiences that embed security into modern engineering workflows…
Added 1 month ago
Technology Lead - CAN
Infosys
Canada
Infosys is seeking an experienced DBT PySpark Developer to design, develop, and optimize scalable bigdata solutions. The candidate will work on building high-performance batch and real-time…
Added 1 month ago
A
Responsable Architecte IA (Intelligence Artificielle)
Avanade
Montreal, QC
- Full-time
Partner closely with our AI, IoT, and Intelligent Automation team and Solution Architects to translate the customer's business requirements to define AI & IoT value proposition and solution…
Added 1 month ago
E
Devops Developer
Ericsson
Montreal, QC · Quebec, QC
- Full-time
…real code, take ownership of real problems, and collaborate with a team using a modern technology stack including Java, TypeScript, Linux, Git, Jenkins, Docker, and test automation…
Added 1 month ago
E
Devops Developer
Ericsson
Quebec, QC
- Full-time
…real code, take ownership of real problems, and collaborate with a team using a modern technology stack including Java, TypeScript, Linux, Git, Jenkins, Docker, and test automation…
Added 1 month ago
W
Principal Software Development Engineer - AI Platform
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal Software Development Engineer for Machine Learning, you will be a team leader, working closely with other engineers and ML researchers to build and deploy robust, scalable AI…
Added 1 month ago
E
Devops Developer
Ericsson
Bas-Saint-Laurent, QC
- Full-time
…real code, take ownership of real problems, and collaborate with a team using a modern technology stack including Java, TypeScript, Linux, Git, Jenkins, Docker, and test automation…
Added 1 month ago
E
Devops Developer
Ericsson
Montreal, QC
- Full-time
…real code, take ownership of real problems, and collaborate with a team using a modern technology stack including Java, TypeScript, Linux, Git, Jenkins, Docker, and test automation…
Added 1 month ago
AI DevOps Specialist (AI Enablement & Secure DevOps)
Celestica International LP
Toronto, ON
Local Code Integration: Ensure developer command-line interfaces and local development terminals (such as Claude Code, VS Code, and GitKraken) seamlessly communicate with cloud model…
Added 1 month ago
VN
Analytics Lead
Viral Nation
Toronto, ON
- Full-time
At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and…

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