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Added 1 month ago
R
Développeur logiciel - Analyse d'essai moteur / Software Developer - Engine Test Analysis
RTX
Longueuil, QC
- Full-time
Expérience avec SQL, Oracle DB et les outils qui y sont associés;
Added 1 month ago
S
Java Full Stack with React
Synechron
Calgary, AB
- $90,000 to $100,000 CAD / year
- Full-time
We are seeking a highly skilled Java Full Stack Developer with React with strong experience in designing, developing, and maintaining enterprise-grade applications. The ideal candidate…
Added 1 month ago
SD
Senior Java Developer
Symbiotic Digital
ON · Central Toronto (Summerhill West / Rathnelly / South Hill / Forest Hill SE / Deer Park), Ontario
- Contract
Oracle Database, PL/SQL, SQL, XML, Unix Shell Scripting, and Oracle Data
Added 1 month ago
PH
Senior Developer / Application Architect HSPnet
Provincial Health Services Authority
Burnaby, BC
- Full-time
The Senior Developer/Application Architect (SD/AA) reports to the Director or designate and is responsible for providing leadership and direction on the support and development of HSPnet…
Added 1 month ago
PS
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
- Full-time
Implementation experience with column-oriented database technologies such as BigQuery, Redshift, Vertica, or similar platforms; NoSQL database technologies such as DynamoDB, Bigtable,…
Added 1 month ago
W
Coordonnateur de l'inventaire
WestGroupe
Montreal, QC · Saint-Laurent, QC
- Full-time
Maîtrise des outils technologiques : maîtrise des systèmes de gestion d'inventaire (par exemple, SAP, Oracle, NetSuite ou les logiciels WMS) et des lecteurs de codes-barres RF. De solides…
Added 1 month ago
C
Oracle PL/SQL Developer
CGI
Halifax, NS
- Full-time
We are seeking an experienced Oracle PL/SQL Developer with strong hands-on expertise in Oracle SQL, PL/SQL development, database performance tuning, and data integration.
Added 1 month ago
Senior Database Developer, Oracle
Scotiabank
Toronto, ON
The Senior Database Developer is a key position in the Financial Crimes Technology team, responsible for supporting and delivering system solutions. The successful candidate will work…
Added 1 month ago
RB
Sr. Technical Systems Analyst – Database Activity Monitoring (GCS)
Royal Bank of Canada
Toronto, ON · Halifax, NS · Vancouver, BC
- Full-time
…organization, employees, and clients. We are seeking a skilled Database Activity Monitoring specialist to strengthen our team and play a key role in ensuring the security and integrity of…
Added 1 month ago
Junior Database Administrator
Fundserv
Toronto, ON
We are looking for a recent graduate or early-career professional to join the team as a Junior Database Administrator. In this role, you’ll support Fundserv’s Oracle database environments…
Added 1 month ago
C
Senior Java Technology Developer – Vice President
Citi
Toronto, ON · Mississauga, ON
- Full-time
Database experience spanning relational platforms (preferably Oracle) and NoSQL technologies (preferably MongoDB), with the ability to design for scale and reliability.
Added 1 month ago
R
Software Developer - Amdocs Clarify CRM/Java
Resonaite
Markham, ON
- Contract
…Clarify CRM. The ideal candidate brings strong Java, Spring Boot, Oracle, API and full-stack development experience, along with the ability to work across complex enterprise systems.…
Added 1 month ago
JG
Java Full Stack Developer(Node.js, Java, Angular and Spring Boot)
J&M Group
Toronto, ON
- Contract
We are hiring for a Java Full Stack Developer. This role focuses on developing enterprise applications across both front-end and back-end technologies using Java, Angular, Node.js, and…
Added 1 month ago
R
Sr. Technical Systems Analyst – Database Activity Monitoring (GCS)
RBC
Toronto, ON · Vancouver, BC · Halifax, NS
- Full-time
…organization, employees, and clients. We are seeking a skilled Database Activity Monitoring specialist to strengthen our team and play a key role in ensuring the security and integrity of…
Added 1 month ago
CN
Project Assistant
Canadian Nuclear Laboratories
Chalk River, ON
- Full-time
Working schedule: Five (5) days per week, seven and a half (7.5) hours per day for a thirty-seven and a half (37.5) hour work week
Added 1 month ago
AG
Product Consultant
Axiell Group
Toronto, ON
- $75,000 to $85,000 CAD / year
- Full-time
Working knowledge of database technologies and proficiency in programming languages. A combination of any of the following: C#, C++, MS SQL, Oracle, MongoDB, CSS, HTML, PHP, JavaScript,…
Added 1 month ago
S
Lead Site Reliability Engineer - Database Management
SimCorp
Toronto, ON
- Full-time
In-depth knowledge of Oracle Database architecture (19c), administration, troubleshooting, RCAs, performance/SQL tuning, and experience supporting applications on Oracle; ability to…
Added 1 month ago
S
Senior CAD Administrator
Seaspan
North Vancouver, BC
- Full-time
Support for CAD database setup / management / administration
Added 1 month ago
PS
Retail & ERP Systems Analyst
Pacific Smoke International Inc
Markham, ON
- $85,000 to $95,000 CAD / year
Support API, database, middleware, and other system integrations.
Added 1 month ago
NB
Chief Solution Architect
National Bank of Canada
Montreal, QC
- Full-time
Experience with both relational and NoSQL databases (e.g., Sybase, Oracle, PostgreSQL, MongoDB).
Added 1 month ago
RT
Java Developer
Russell Tobin
ON · Ontario, Canada
- $45 to $50 CAD / hour
- Contract
Develop, enhance, test, troubleshoot, and support large-scale web applications using Java and Oracle/SQL.
Added 1 month ago
C
Applications Development Technology Lead Analyst - Lead Java Developer - Vice President
Citi
Mississauga, ON
- Full-time
Design and optimize relational persistence layers on Oracle Database, including complex data modeling, schema migrations (Flyway/Liquibase), advanced query tuning, index optimization, and…
Added 1 month ago
C
C-GE-950 – Développeur(se) logiciel
CAE
Montreal, QC
- Full-time
Expérience avec les bases de données SQL Server, My SQL, Oracle, DB2.
Added 1 month ago
G
Director, Technology Infrastructure & Operations
GreenShield
Windsor, ON
- Full-time
…and backup, enterprise networking and telecommunications, and database platforms i.e. Oracle, Google, and Microsoft and others. Ensure platforms meet defined availability, performance,…
Added 1 month ago
DIRECTOR - TECHNOLOGY INFRASTRUCTURE & OPERATIONS - HYBRID
Green Shield Canada
Windsor, ON
…and backup, enterprise networking and telecommunications, and database platforms i.e. Oracle, Google, and Microsoft and others. Ensure platforms meet defined availability, performance,…

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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