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Added 2 months ago
Data Science Chief Expert, CX
SAP
Montreal, QC
Strong Python and SQL skills, including production-grade Python development and experience with ML libraries such as PyTorch, TensorFlow, and scikit-learn.
Added 1 month ago
RB
Senior Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Strong SQL skills and understanding of data modeling concepts.
Added 1 month ago
R
Director, DevOps Insights
RBC
Toronto, ON
- Full-time
Strong data engineering background: Python, SQL, Snowflake, Airflow and cloud data platforms
Added 1 month ago
Actuarial Analyst, Reserving
Aviva
Markham, ON
Analyze the adequacy of claim reserve levels using both standard actuarial methods and advanced reserving models including machine learning techniques using Python.
Added 1 month ago
Senior Actuarial Analyst, Reserving
Aviva
Markham, ON
Analyze the adequacy of claim reserve levels using both standard actuarial methods and advanced reserving models including machine learning techniques using Python.
Added 1 month ago
RB
Generative AI Data Scientist & ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Proficient in Python and libraries such as NumPy, Pandas, Matplotlib, OpenCV, Scikit-Learn, TensorFlow, Keras, PyTorch, and PySpark.
Added 1 month ago
RB
Senior Full Stack Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 1 month ago
E
Senior Software Engineer, AI Platform
eBay
Toronto, ON
- Full-time
This role sits within eBay’s engineering organization and is focused on building a next-generation AI-powered platform that transforms how software is designed, developed, and delivered at…
Added 1 month ago
Software Development Engineer Intern, ROBOTICS - 2027
Amazon
Toronto, ON
- Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control…
Added 1 month ago
RB
Principal Data Science and AI Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Engineer, design, and enable the development of platform services that enable autonomous AI agents to interact with infrastructure systems like OpenShift, SQL Server, Apigee, Kafka,…
Added 1 month ago
DS
Ingénieur Analytique / Analytics Engineer
Data Sciences
Montreal, QC
- Full-time
3+ années expérience en rédaction de code SQL en tant qu’ingénieur analytique (analytics engineer), analyste de données (data analyst), ingénieur de données (data engineer) ou autres rôles…
Added 1 month ago
TG
Développeur C++
TMX Group
Toronto, ON
- Full-time
Expérience pratique de Java, SQL RDBMS, Linux, Perl, Python et JavaScript
Added 1 month ago
D
Analyst, Credit Risk Models
Deloitte
Toronto, ON
- Full-time
Significant experience and demonstrated ability using Python and SQL. Proficiency in other programming languages such as SAS and R is highly desirable.
Added 1 month ago
EN
Senior Full Stack Developer – Generative AI & Autonomous Agents - Toronto, Canada - Hybrid (10038)
Extreme Networks
Toronto, ON
- Full-time
We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our…
Added 1 month ago
BC
Managed Services Administrator
BearCom Canada
London, ON
- Full-time
Experience deploying and operating database servers including MySQL, PostGres and Microsoft SQL
Added 1 month ago
Applied Data Scientist - Contract
Arcurve Inc.
Calgary, AB
Expert-level Python and experience with the modern machine learning stack, including scikit-learn, PyTorch, and statsmodels or equivalent libraries.
Added 1 month ago
Intermediate Data Engineer
Arcurve Inc.
Calgary, AB
Arcurve is one of North America’s leading full-service technology, advisory and software development companies. In 2006, we began with a belief that there was a better way to deliver…
Added 1 month ago
R
Principal Data Science and AI Engineer
RBC
Toronto, ON
- Full-time
Engineer, design, and enable the development of platform services that enable autonomous AI agents to interact with infrastructure systems like OpenShift, SQL Server, Apigee, Kafka,…
Added 1 month ago
R
Senior Full Stack Engineer
RBC
Toronto, ON
- Full-time
As a senior software developer, you will work as a part of an agile team to develop automation. We are looking for diverse backgrounds and experience, with a deep understanding of software…
Added 1 month ago
Senior Specialist, Analytics
CMHC - SCHL
Toronto, ON · Ottawa, ON · Montreal, QC · Vancouver, BC · Halifax, NS · Calgary, AB
Experience working with large datasets and tools such as SQL, Python, Power BI, SAS, or similar technologies.
Added 1 month ago
I
Senior Cloud Security Operations Analyst
Intelcom
Montreal, QC · Service Centre (Montreal) Lab
- Full-time
Proficiency in data analysis query using scripting languages such as Python, PowerShell, Bash, Yara-L, SQL, KQL, SPL or others
Added 1 month ago
B
Managed Services Administrator, Sarnia, ON
BearCom
London, ON · Sarnia, ON
- Other
Experience deploying and operating database servers including MySQL, PostGres and Microsoft SQL
Added 1 month ago
Intern - Credit Risk, Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
3M to 1 yr of exposure to Microsoft SharePoint and Microsoft PowerShell, Microsoft Power Automate, Python, and/or SQL.
Added 1 month ago
C
Senior Azure Data Engineer
CIBC
Toronto, ON
- Full-time
You can demonstrate 4-6 years of hands-on development expertise with Scala, Python, PySpark and SQL with technical experience in Maven, GitHub, JFrog and Bash. You have 3 or more years of…
Added 1 month ago
Manager Credit Risk Provisions and Analytics
Scotiabank
Toronto, ON
Proficiency in SAS, SQL, Python, and VBA, with experience extracting, transforming, validating, and analyzing large datasets to support reporting, forecasting, and automation initiatives.

Data Sciences

Ingénieur Analytique / Analytics Engineer

Montreal, QC, Canada

** Salary range: $85,000 - $105,000 ** · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: ** Salary range: $85,000 - $105,000 **
Job type: Full-time
Apply by: Mar 8, 2027
Posting language: English · French
Posted: Sep 9, 2026

Original job description

English section of this bilingual listing.

Tech : Un ordinateur MacBook fourni dès ton arrivée.

** Échelle salariale : $85,000 - $105,000 **

À propos de DS

Job description

We are looking for an Analytics Engineer to join our diverse and rapidly growing team in Montreal. The successful candidate will be responsible for designing, developing, maintaining the data transformation layer and building dimensional models that will feed BI tools. The objective for the role is to facilitate reporting and analytics for technical and non-technical users alike. We are looking for big picture thinkers with strong communication skills and a track record of independent problem-solving. We value creativity and innovation, hard work and on-the-job excellence. The ideal candidate is someone who is highly motivated and who seeks to take on a challenging role.

What you’ll do

Design and develop complex data models and transformations that standardize data definitions and promote data democratization
Lead discussions with technical and non-technical stakeholders in order to understand business objectives and document requirements.
Work with our engineering team to understand what data is captured by our ELT pipelines, where, and how.
Produce detailed documentation describing the data models and the jobs that generate them
Build and own analytics infrastructure that delivers good quality data, reliably

Requirements

Bachelor’s degree in a technical field or equivalent experience.
3+ years of experience writing production-grade SQL as an analytics engineer, data engineer, data analyst, or related role.
2+ years hands-on experience with dbt (models, tests, macros) in production.
Solid understanding of data warehousing concepts (ETL/ELT, data marts), and data modeling techniques (dimensional modeling, one big tables, etc.).
Familiarity with data warehouses such as Redshift, Snowflake, BigQuery, or Databricks.
Experience with version control (Git), DevOps practices, and CI/CD pipelines.
Excellent communication skills, with the ability to generate technical requirements from a set of non-technical stakeholder interviews.
Strong attention to detail, with a focus on data accuracy, quality, and integrity.
Some experience with common BI tools are an asset (e.g. Power BI, Tableau, Looker).

Additional Assets

Experience working with an orchestrator (Airflow, Dagster, AWS Step Functions)
Familiarity with semantic modeling using LookML, Cube, MetricFlow, etc. is a plus
Knowledge of Python, bash

What We Offer

Health: 100% employer-paid health and dental package.
Perks: Free Perkopolis membership for discounts on travel, shopping, and wellness.
Flexibility: Hybrid work model with a snacks-and-coffee-stocked office in Montreal’s St-Henri neighbourhood.
Vacation: 3 weeks vacation plus 5 personal days.
Growth: Opportunity for funded professional development and certifications.

We are a different type of agency. We bring together art and science to understand how audiences behave and predict how to best engage them.

We combine sound data management, advanced analytics, machine learning and AI, and cutting-edge digital engagement strategies to better measure audience intent, communicate efficiently, and produce measurable results with the power to shift public perception.

Our team’s cutting-edge expertise is leveraged by corporate clients in complex business environments, international NGOs, and major political parties (both in Canada and around the world).

Since opening in 2015, we have built an incredible, bilingual team headquartered in AI-hub Montreal. We offer a competitive health package, a start-up office space and the opportunity to join a growing, multi-disciplinary team with lots of growth opportunities.

Read the full bilingual original

***English version below***

Ingénieur Analytique

Description du poste

Nous sommes à la recherche d’un ingénieur analytique qui souhaite se joindre à notre équipe diversifiée et en pleine croissance à Montréal. Le candidat retenu sera responsable de concevoir, de développer, de maintenir la couche de transformation de données et d’élaborer des modèles dimensionnels pour alimenter les outils d’informatique décisionnelle (BI). L’objectif du rôle étant de faciliter la production de rapports et les analytiques pour les utilisateurs techniques ou non. Nous sommes à la recherche d’une personne dotée d’une grande capacité de synthèse avec d’excellentes aptitudes en communication et des antécédents de résolution de problèmes de manière indépendante. Nous accordons une grande importance à la créativité et à l’innovation et nous apprécions les gens qui travaillent fort et qui visent l’excellence. Le candidat idéal est une personne hautement motivée qui souhaite occuper un poste exigeant.

Ce que vous ferez:

Élaborer et mettre au point des modèles et des transformations de données complexes qui normalisent les définitions des données et favorisent la démocratisation des données.
Mener des discussions avec des parties prenantes techniques ou non pour comprendre les objectifs commerciaux et documenter les exigences.
Collaborer avec notre équipe d’ingénieurs pour comprendre quelles données sont recueillies par nos pipelines ELT (extraction, chargement, transformation), où et comment.
Produire des documents détaillés qui décrivent les modèles de données et les tâches qui les génèrent.
Élaborer et gérer des infrastructures d’analyse qui fournissent des données de bonne qualité, de façon fiable.

Exigences:

Baccalauréat dans un domaine technique ou expérience équivalente.
3+ années expérience en rédaction de code SQL en tant qu’ingénieur analytique (analytics engineer), analyste de données (data analyst), ingénieur de données (data engineer) ou autres rôles connexes.
2+ années d'expérience confirmée avec dbt (modèles, tests, macros) en production.
Solide compréhension des concepts d’entreposage des données (ELT/ETL, data marts) et des techniques de modélisation de données (modèles dimensionnels, one big table, etc.).
Bonne connaissance des entrepôts de données tels que Redshift, Snowflake, Bigquery ou Databricks.
Expérience avec le contrôle de versions (Git), les pratiques DevOps et les pipelines CI/CD.
Excellentes aptitudes en communication et bonne capacité à générer des exigences techniques d’un ensemble d’entretiens avec des parties prenantes non techniques.
Grand souci du détail tout en mettant l’accent sur l’exactitude, la qualité et l’intégrité des données.
De l’expérience avec les outils d’informatique décisionnelle (BI) les plus répandus (p. ex. Power BI, Tableau, Looker) sera considéré comme un atout.

Atouts supplémentaires:

Démontrer une forte intuition pour la conception de produits de données (data product design).
Expérience de travail avec un orchestrateur (Airflow, Dagster, AWS Step Functions).
La familiarité avec la modélisation sémantique utilisant LookML, Cube, MetricFlow, etc.
Connaissance de Python et Bash.

Ce que nous offrons

Santé : Régime d'assurance maladie et dentaire payé à 100 % par l'employeur.
Avantages : Adhésion gratuite à Perkopolis pour des rabais sur les voyages, le magasinage et le bien-être.
Flexibilité : Modèle de travail hybride avec un bureau dans le quartier St-Henri, approvisionné en collations et en café.
Vacances : 3 semaines de vacances plus 5 jours personnels.
Croissance : Possibilités de financement pour le développement professionnel et les certifications.
Tech : Un ordinateur MacBook fourni dès ton arrivée.

** Échelle salariale : $85,000 - $105,000 **

À propos de DS

Nous sommes une agence différente. Nous combinons l’art et la science pour comprendre le comportement des auditoires et prédire la meilleure façon de susciter leur engagement.

Nous unissons la bonne gestion de données, les analyses poussées, l’apprentissage machine et l’IA ainsi que des stratégies d’engagement numérique de pointe pour mieux mesurer l’intention de l’auditoire, communiquer efficacement et produire des résultats mesurables qui ont le pouvoir de changer la perception du public.

Des clients du monde des affaires, des ONG internationales et de grands partis politiques (au Canada et ailleurs dans le monde) tirent profit de l’expertise de pointe de notre équipe.

Depuis notre fondation en 2015, nous avons bâti une équipe exceptionnelle et bilingue à notre siège social au cœur du quartier de l’intelligence artificielle à Montréal. Nous offrons des avantages sociaux concurrentiels qui comprennent les assurances pour les soins de santé, des bureaux modernes et l’occasion de vous joindre à une équipe multidisciplinaire en pleine croissance où les perspectives d’avancement sont nombreuses.

***

Analytics Engineer

Job description

What you’ll do

Design and develop complex data models and transformations that standardize data definitions and promote data democratization
Lead discussions with technical and non-technical stakeholders in order to understand business objectives and document requirements.
Work with our engineering team to understand what data is captured by our ELT pipelines, where, and how.
Produce detailed documentation describing the data models and the jobs that generate them
Build and own analytics infrastructure that delivers good quality data, reliably

Requirements

Bachelor’s degree in a technical field or equivalent experience.
3+ years of experience writing production-grade SQL as an analytics engineer, data engineer, data analyst, or related role.
2+ years hands-on experience with dbt (models, tests, macros) in production.
Solid understanding of data warehousing concepts (ETL/ELT, data marts), and data modeling techniques (dimensional modeling, one big tables, etc.).
Familiarity with data warehouses such as Redshift, Snowflake, BigQuery, or Databricks.
Experience with version control (Git), DevOps practices, and CI/CD pipelines.
Excellent communication skills, with the ability to generate technical requirements from a set of non-technical stakeholder interviews.
Strong attention to detail, with a focus on data accuracy, quality, and integrity.
Some experience with common BI tools are an asset (e.g. Power BI, Tableau, Looker).

Additional Assets

Demonstrate a strong intuition for data product design
Experience working with an orchestrator (Airflow, Dagster, AWS Step Functions)
Familiarity with semantic modeling using LookML, Cube, MetricFlow, etc. is a plus
Knowledge of Python, bash

What We Offer

Health: 100% employer-paid health and dental package.
Perks: Free Perkopolis membership for discounts on travel, shopping, and wellness.
Flexibility: Hybrid work model with a snacks-and-coffee-stocked office in Montreal’s St-Henri neighbourhood.
Vacation: 3 weeks vacation plus 5 personal days.
Growth: Opportunity for funded professional development and certifications.
Tech: A MacBook computer provided on your first day.

** Salary range: $85,000 - $105,000 **

About DS

We are a different type of agency. We bring together art and science to understand how audiences behave and predict how to best engage them.

Our team’s cutting-edge expertise is leveraged by corporate clients in complex business environments, international NGOs, and major political parties (both in Canada and around the world).

Apply About employer

More about this job

Responsibilities

The role involves designing and maintaining the data transformation layer and building dimensional models to support BI tools. The engineer will collaborate with stakeholders to document business requirements and ensure the delivery of high-quality, reliable data infrastructure.

Requirements

Candidates need a bachelor's degree in a technical field and at least 3 years of experience with production-grade SQL and 2 years of experience with dbt. Proficiency in data warehousing concepts, version control, and communication with non-technical stakeholders is required.

Skills

SQL
dbt
Data Modeling
ELT/ETL
Data Warehousing
Git
CI/CD
DevOps
Power BI
Tableau
Looker
Python
Bash
Airflow
Data Product Design
Semantic Modeling

Benefits

Health Insurance
Dental Insurance
Perkopolis Membership
Hybrid Work Model
3 Weeks Vacation
5 Personal Days
Professional Development Funding
Certifications Funding
MacBook Computer

Visa sponsorship

Not detected in the job text

Keywords

SQL
dbt
ELT
ETL
Data Marts
Dimensional Modeling
Redshift
Snowflake
BigQuery
Databricks
Git
DevOps
CI/CD
Power BI
Tableau
Looker
Airflow
Dagster
AWS Step Functions
LookML
Cube
MetricFlow
Python
Bash
Data Democratization
Data Product Design
Analytics Engineering
Data Warehousing
BI Tools
Semantic Modeling

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