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Added 2 hours ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
Microsoft is a company where passionate innovators come to collaborate, envision what can be, and take their careers further. This is a world of more possibilities, more innovation, more…
Added 6 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 7 hours ago
Senior Business Systems & Software Engineer
Piper Companies
ON · Durham, ON
Full-time
Keywords: Senior Business Systems Engineer, Business Systems Analyst, Software Engineer, Full Stack Developer, Full Stack Engineer, Systems Engineer, Enterprise Applications, Business…
Added 7 hours ago
Senior Data Engineer
Fraser Health
Surrey, BC
Full-time
…(CAADSI) department of Fraser Health, we are looking for a Senior Data Engineer to join our agile and fast paced team. Reporting to the Director, Data Engineering, this position is part of…
Added 8 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 9 hours ago
Full Stack Engineer (.NET/ Angular)
Altis
Toronto, ON
$85 to $95 CAD / hour
Contract
…modernizing critical home and community care technology. As a Senior Software Developer, you will play a key role in transforming legacy enterprise applications into scalable, cloud-enabled…
Added 9 hours ago
Senior Site Reliability Developer
Vena Solutions
Remote, Canada
Full-time · Remote
Vena is looking for a Senior SRE to join our SaaS Technology and Operations (STO) team. This role is a match for you if you love building highly scalable, resilient and automated services.…
Added 12 hours ago
Senior Data Engineer
Extendicare
Markham, ON · Extendicare (Canada) Inc (Steeles Ave.)
Full-time
Reporting to the Sr. Manager, Data Architecture, the Senior Data Engineer will play a key role in designing, building, and modernizing enterprise data integrations that support business…
Added 13 hours ago
Senior Data Engineer
Extendicare
Markham, ON
Full-time
Reporting to the Sr. Manager, Data Architecture, the Senior Data Engineer will play a key role in designing, building, and modernizing enterprise data integrations that support business…
Added 16 hours ago
Junior Software Developer (contract position) / Développeur débutant de logiciels (poste contractuel)
CCMTA
Ottawa, ON
Full-time
…mentoring of our Development Team Lead, alongside a Platform Engineer, a Business Analyst and a Cloud Network and Security Analyst. As your skills grow, you will have the opportunity to…
Added 20 hours ago
Senior Manager, Software Engineering
Capital One
Toronto, ON
Full-time
Experience with AWS, GCP, Microsoft Azure, or another cloud service
Added 1 day ago
Senior Software Engineer
Norton Rose Fulbright
Toronto, ON
Full-time
The Senior Software Engineer is responsible for developing, implementing, and supporting enterprise-grade cloud solutions leveraging Microsoft Azure and Microsoft Fabric. This role focuses…
Added 1 day ago
Senior Certificate Automation Engineer
Raise
Toronto, ON
Full-time
We at Raise are hiring a Senior Certificate Automation Engineer for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet…
Added 1 day ago
Senior Data Engineer (Microsoft Fabric) | 6 months Contract | Vancouver-(Hybrid)
Central 1
Vancouver, BC
Contract
As a Senior Data Engineer you will be the subject matter expert in Microsoft Fabric to support the evolving data needs of Central 1. The Senior Data Engineer is responsible for designing,…
Added 1 day ago
Infrastructure Architect
123Dentist
Toronto, ON
$150,000 to $175,000 CAD / year
Full-time
The Infrastructure Architect is the senior technical engineer for 123Dentist’s server, identity, cloud, and network infrastructure, combining deep hands-on design and engineering with…
Added 1 day ago
Senior Consultant - Microsoft Sentinel and Defender Engineer
EY
Winnipeg, MB · Toronto, ON · Quebec, QC · Saskatoon, SK · Halifax, NS · St. John's, NL · Saint John, NB · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Waterloo, ON · Calgary, AB
EY is seeking a senior, hands-on Microsoft security engineer to support the design, implementation, and continuous improvement of our Managed Detection and Response (MDR) services. You will…
Added 1 day ago
Intermediate Data Engineer
BMO
Toronto, ON · SCC
Full-time
The Data Engineer is responsible for designing, building, and supporting scalable data solutions that enable analytics, reporting, regulatory, and operational business processes. Working as…
Added 1 day ago
Development Security Specialist (Industrial Oil & Gas Applications)
Pengcorp Ltd.
Calgary, AB
Full-time
We are seeking a Senior Application Security & DevSecOps Engineer to establish, operationalize, and continuously improve our Secure Software Development Lifecycle (SSDLC) across enterprise,…
Added 1 day ago
Senior AI Engineer
Tekgence Inc
Toronto, ON
Contract
6-10 years building production software, including recent hands-on delivery of AI or large-language-model systems beyond prototypes.
Added 1 day ago
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
Full-time
You are a hands-on senior QA automation engineer who can go beyond executing existing test scripts. You can design frameworks, understand complex backend integrations, trace data across…
Added 1 day ago
Senior Security Platform Engineer - 100% Remote
Recrute Action
Toronto, ON
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…Akamai, AWS Certificate Manager (ACM), Amazon EKS/Kubernetes, Microsoft Graph, HashiCorp Vault, container platforms, cloud-native workloads, and additional enterprise applications and…
Added 1 day ago
Analyst I, System Management (Permanent)
Toronto District School Board
Toronto, ON
$48.73 to $57.27 CAD / hour
Full-time
Completion of substantial number of courses toward Microsoft Systems Engineer (MCSE), virtualization technologies such as Hyper-V, Azure Cloud and/or GSuite platform.
Added 1 day ago
Azure Platform Engineer/Azure Cloud Engineer/Cloud Platform Engineer
Tek Leaders Inc
Halifax, NS
Contract
Job Title : Senior Software Engineer – (Azure Platform Engineer/Azure Cloud Engineer/Cloud Platform Engineer)
Added 1 day ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 1 day ago
Senior Data Platform Engineer
Norton Rose Fulbright
Calgary, AB
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…

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 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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