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Added 14 mins ago
Senior Software Engineer, Machine Learning
Chorus AI
Toronto, ON
$150,000 to $170,000 CAD / year
Full-time
Reports to: Technical CEO, working directly with our Founding Engineer and Founding Data Scientist
Added 14 mins ago
Senior QA Developer (Agent Security)
Fortinet
Burnaby, BC
Full-time
We are hiring a Senior / Staff QA Engineer for Fortinet's AI security product line, FortiAIGate, to own end-to-end testing of the product across both SaaS and on-premises deployments.…
Added 14 mins ago
Business Intelligence Engineer III, Talent Acquisition Analytics
Amazon
Vancouver, BC
Full-time
As a Business Intelligence Engineer, this is your opportunity to be at the intersection of data, analysis, hiring, and strategy that will make it possible for our teams to fulfill that…
Added 14 mins ago
Senior Data Engineer
Confluence Technologies
Toronto, ON
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…
Added 59 mins ago
Director, Process Engineering
Royal Bank of Canada
Toronto, ON
Full-time
As the Director, Process Engineering, you'll re-imagine and engineer “architecture management”; how architecture development and governance is applied across EA and architecture community,…
Added 59 mins ago
Senior DevOps Engineer
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a highly skilled and experienced DevOps Engineer to join our team. The successful candidate will be responsible for ensuring the smooth operation of our production systems,…
Added 1 hour ago
Senior Visualization Professional
Capgemini
Mississauga, ON
- Microsoft Fabric Analytics Engineer Associate
Added 1 hour ago
Software Engineer I Co-op (Data Foundations)
Planview Incorporated
Vancouver, BC
Temporary
We’re looking for a Software Engineer I (Co-op) to join our Data Foundation team in Vancouver, BC for an 8-month co-op term.
Added 2 hours ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
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…
Added 2 hours ago
Senior Full Stack Developer – Java / Angular
ThoughtStorm
Toronto, ON
Contract
Proven ability to reverse engineer and re-platform existing reporting/business logic, including WebFOCUS or equivalent BI/reporting platforms.
Added 2 hours ago
Senior Java Software Engineer
Pacer Group
Toronto, ON
$130,000 to $135,000 CAD / year
Full-time
Added 2 hours ago
Director, Process Engineering
RBC
Toronto, ON
Full-time
As the Director, Process Engineering, you'll re-imagine and engineer “architecture management”; how architecture development and governance is applied across EA and architecture community,…
Added 2 hours ago
Senior DevSecOps Engineer
Wissen Technology
Calgary, AB
Full-time
…Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights, Interactive Data Visualization & Decision Intelligence, Intelligent Process…
Added 2 hours ago
Staff Software Engineer
Amplitude
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
Amplitude is the leading AI analytics platform, helping over 4,700 customers - including Atlassian, Burger King, NBCUniversal, and Square - build better products and digital experiences.…
Added 3 hours ago
Senior Data Engineer
Fraser Health
Surrey, BC
Full-time
At Centre for Advanced Analytics, Data Science, and Innovation (CAADSI) department of Fraser Health, we are looking for a Senior Data Engineer to join our agile and fast paced team.…
Added 3 hours ago
Data Scientist II
TD
London, ON · Toronto, ON · Ottawa, ON
Full-time
Analytics, Insights, & Artificial Intelligence
Added 3 hours ago
Software Engineer- Full Stack, Unified Ads Platform
Unity
Toronto, ON
Full-time
Added 3 hours ago
Software Engineer- Full Stack, Unified Ads Platform
Unity
Montreal, QC
Full-time
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Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 4 hours ago
Senior Platform Engineer I
Wrapbook
Remote, Canada
$156,500 to $215,000 CAD / year
Full-time · Remote
Wrapbook is looking for a Senior Platform Engineer I who will play a hands-on role in driving our mission to build an outstanding technology company. You will be working as part of a…
Added 4 hours ago
Senior Product Engineer - Value
Faire
Toronto, ON · Kitchener, ON
As a Senior Engineer (L4), you'll collaborate with us to:
Added 4 hours ago
AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
Other
We are seeking an experienced Senior AI Developer to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions. In this role,…
Added 4 hours ago
Senior QA Automation Engineer
Citi
Mississauga, ON
Full-time
The Senior QA Automation Engineer is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs…
Added 4 hours ago
Applications Development Sr Programmer Analyst- AVP -Mississauga
Citi
Mississauga, ON
Full-time
The Applications Development Senior Programmer Analyst is a pivotal technical professional who sits at the intersection of engineering excellence and enterprise impact - a builder,…
Added 4 hours ago
Senior Data Engineer (DBX)
Munich Re
Toronto, ON
As a Senior Data Engineer (DBX), you will design and deliver scalable data solutions for high-volume, complex data. You will lead technical design, build reliable data flows, and establish…

Publicis Sapient

Senior Associate Data Engineering (Azure/Databricks) Hybrid

Toronto, ON, Canada

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

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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 [email protected]

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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