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Added 18 hours ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
…coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent…
Added 22 hours ago
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Sapient
Toronto, ON
Full-time
In-depth knowledge of Scala, Apache Spark, PySpark, Python, Java, and shell scripting.
Added 1 day ago
Java Developer
Apptad
Montreal, QC
Contract
…solutions. The ideal candidate should have strong expertise in Java, SQL, database systems, and Python, along with a willingness to learn and adapt to new…
Added 1 day ago
Full stack developer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
$100,000 to $120,000 CAD / year
Full-time
Strong programming skills in front-end and back-end technologies such as: – Front-end: JavaScript, TypeScript, React, Angular, or Vue.js – Back-end: Java, Node.js, Python, or C#
Added 1 day ago
Oracle Database Tester
Confiar Services
Toronto, ON
$55 to $60 CAD / hour
Contract
Automate database and API test scenarios using tools/frameworks such as Selenium, Java/Python, REST Assured, Postman, or Tosca.
Added 9 days ago
Lead Full Stack Developer
RBC
Toronto, ON
Full-time
At its core, this role requires excellent problem-solving skills and C#/.Net, Java, Python and full stack coding capability. This role will need to effectively communicate, collaborate, and…
Added 5 days ago
Senior Developer Engineer/Leader
Xcelerated Consulting Group, LLC.
Montreal, QC
Contract
As a Senior Developer, you will serve as a technical leader and subject matter expert in the Regulatory Reporting framework. This in-house application ensures the firm meets its global…
Added 8 days ago
Business Analyst, Controllership- (Winter 2027 Co-Op)
CIBC
Toronto, ON
Full-time
…(including VBA and designing libraries) or programming such as Java, PHP or Python. It's an asset if have experience using VBA, SQL, VB.net, Java, MS Visio, HTML 5 and…
Added 9 days ago
Java/Python DB Developer
Synechron
Montreal, QC
$80,000 to $90,000 CAD / year
Full-time
Nous recherchons un Développeur Java/Python/Base de Données expérimenté, avec 5 à 7 ans d’expérience, pour rejoindre notre équipe de Données de Référence Sécuritaires. Le candidat idéal…
Added 9 days ago
Senior Full Stack Developer
OXARO Inc.
Ottawa, ON
Full-time
5+ years of experience working with 2 or more programming languages, such as Python, C#, Java, or Ruby.
Added 15 days ago
AWS Cloud Engineer
ThoughtStorm
Toronto, ON
Contract
Experience in scripting languages like Python, Bash, PHP, Java, JavaScript, Node, etc.
Added 18 days ago
Senior Performance Test Engineer
Cognizant
Toronto, ON
$75,000 to $95,000 CAD / year
Full-time
Added 19 days ago
Senior Software Developer
RBC
Toronto, ON
Full-time
Proficiency in Node.js or Python, and SQL with familiarity in relational databases
Added 22 days ago
Product Engineering (Full Stack Developer - Java, Spring Boot & React)
Allstate Canada
Toronto, ON
Full-time
We are looking for an experienced Full Stack Developer with hands-on experience in Java Spring Boot, React.js, and relational database. The ideal candidate should have a strong grasp of…
Added 19 days ago
Senior Software Developer
Royal Bank of Canada
Toronto, ON
Full-time
Proficiency in Node.js or Python, and SQL with familiarity in relational databases
Added 26 days ago
Manager Product Engineering & Development
Deloitte
Toronto, ON
Full-time
Custom development: Architect cloud-native applications across the full technology stack (Java, .NET, Python, Node.js), shaping modernization and product engineering solutions from pursuit…
Added 26 days ago
Senior Manager Product Engineering & Development
Deloitte
Toronto, ON
Full-time
Custom development: Architect cloud-native applications across the full technology stack (Java, .NET, Python, Node.js), shaping modernization and product engineering solutions from pursuit…
Added 27 days ago
Principal Software Engineer - Distributed Systems
Microsoft
Vancouver, BC
Full-time
…coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or…
Added 27 days ago
Lead Data Consultant, Manager
PwC
Ottawa, ON · Toronto, ON
Full-time
Experience designing and developing data pipelines from ingestion to consumption within big data architecture using Python/Java/SQL etc.
Added 28 days ago
Software Engineer II - Distributed Systems
Microsoft
Vancouver, BC · Goodwood, ON
Full-time
…coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or…
Added 1 month ago
Programmer Analyst
Societe Generale
Montreal, QC
Full-time
| Oracle DB| ETL | Power BI | Excel |Python |Spark | Azure Synapse |
Added 1 month ago
Full Stack Java Developer
J&M Group
Toronto, ON
Contract
Strong programming skills in front-end and back-end technologies such as: Front-end: JavaScript, TypeScript, React, Angular, or Vue.js, Back-end: Java, Node.js, Python, or C#
Added 1 month ago
Senior Full Stack Developer
J&M Group
Toronto, ON
Full-time
Added 1 month ago
Software Engineer III/Senior Software Engineer (Full Stack)
Workday
Vancouver, BC
Full-time
5+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
Added 1 month ago
Lead Workplace Engineering Specialist - Enterprise Content & Survey Solutions (Hybrid)
Morgan Stanley
Montreal, QC
Full-time
10+ years of application development experience and skilled with one or more development languages such as .NET/C#, Python, Java, PowerShell, shell scripting,

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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