Find work in Canada.

329,353 jobs across our Canadian network. How we count

Jobs in Canada

Save this search

Added 6 days ago
Gen AI Developer
J&M Group
Halifax, NS
Full-time
Proficiency in SQL and distributed computing (Spark, distributed systems)
Added 12 days ago
Software Engineer II, Machine Learning - Slack
Global Gainsight Admins Community
Toronto, ON
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Salesforce
Toronto, ON
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 1 month ago
Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
$180,000 to $210,000 CAD / year
Full-time
Expert-level proficiency in Java or Scala, with strong Python skills. Experience with systems languages is a plus
Added 1 month ago
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
$210,000 to $240,000 CAD / year
Full-time
Expert-level proficiency in Java or Scala; strong skills in Python and systems languages
Added 16 days ago
Big Data Systems Engineer
Pyramid Consulting, Inc
Toronto, ON
$56 to $57.14 CAD / hour
Contract
Key Skills: SENIOR SPARK DEVELOPER, SCALA BIG DATA DEVELOPER, DATA ENGINEER, APACHE SPARK,JAVA, SPRING BOOT.
Added 12 days ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…distributed data pipelines processing billions of events in Spark/EMR, and build the AI-powered features that transform OCM from a reporting tool into an autonomous measurement platform.…
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Salesforce
Toronto, ON · Canada - Toronto
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 13 days ago
Software Engineer II, Machine Learning - Slack
Slack
Toronto, ON · Canada - Toronto
Full-time
Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.
Added 15 days ago
Senior Data Engineer - Halifax
Royal Bank of Canada
NS · BEDFORD, Nova Scotia
Full-time
5+ years of application development experience in Spark or Hadoop, and Java/Scala
Added 19 days ago
Staff Software Engineer (FinTech) - Back End (Bangkok based, Relocation provided)
Agoda
Toronto, ON
Full-time
8+ years of experience with strong proficiency in Java, Kotlin, Scala with a proven track record of developing high-performance applications in production settings. Insightful experience…
Added 21 days ago
Senior Data Engineer - Halifax
RBC
Bedford, QC
Full-time
5+ years of application development experience in Spark or Hadoop, and Java/Scala
Added 18 days ago
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
Full-time
Deep expertise in modern distributed data processing and ML engineering tools and languages (e.g., Python, Java/Scala, PySpark/Spark, Kafka, SQL, orchestration frameworks).
Added 24 days ago
Sr Applied Scientist, Recommendations
eBay
Toronto, ON
Full-time
Experience in production engineering practices and software development in an OO language (Scala, Java, etc.)
Added 19 days ago
Senior Java Backend Engineer – AI/Workflow
Astek
Montreal, QC
Full-time
3 + years of hands-on software development experience in Java ecosystem
Added 21 days ago
Big Data Developer – Scala/Spark, Java
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
8. Experience in writing Spring boot Webservices| and SQL queries.The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 20 days ago
Spark Scala Java Developer
J&M Group
Toronto, ON
Contract
Experience in writing Spring boot Webservices| and SQL queries.The ideal candidate will have experience developing data processing applications using Apache Spark and Scala.
Added 24 days ago
Data Engineer - Canada Region
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
Proficiency in programming languages such as SQL, Python, Java and or Scala.
Added 24 days ago
Senior Data Engineer
Capgemini
Mississauga, ON
Full-time
Programming experience in at least two of the following languages Scala Java or Python
Added 26 days ago
Big Data Developer
Centraprise
Toronto, ON · Greater Toronto Area, Canada
Contract
Mandatory Skills: Well versed with Data, ETL Processes, SQL and high-level programming languages such Scala, Java, DevSecOps
Added 26 days ago
Java developer (with Database)
Astek
Montreal, QC · Greater Montreal Metropolitan Area
Part-time
Design, develop, and enhance Java applications and data processing solutions within a fast-paced Agile environment.
Added 28 days ago
Data Engineer
FDM Group
Montreal, QC
Full-time
Java/Scala + bases solides Spark (debug, analyse d’échecs) ; Snowflake + SQL avancé (optimisation)
Added 28 days ago
Software Dev Engineer II, 1P Audio Video Measurement
Amazon
Toronto, ON
Full-time
…will help steer the future of advertising. Our stack includes Spark (Scala), EMR, S3, Elasticsearch, JVM-based services, and job schedulers, and cluster management services that oversee our…
Added 1 month ago
Hadoop Developer
Pyramid Consulting, Inc
ON · Ontario, Canada
Contract
Must have skills: - Hadoop Ecosystem (HDFS, YARN, Hive, HBase), Spark (SQL, Streaming), Kafka, Sqoop, Python/Scala/Java, Shell scripting, Airflow (workflow orchestration), distributed data…

FDM Group

Data Engineer

Montreal, QC, Canada

Job type: Full-time
Apply by: Sep 23, 2026
Experience: Bac en informatique/ingénierie (ou équivalent) + 3 ans d’expérience en data engineering/développement
Posting language: English · French
Posted: Aug 24, 2026

Apply About employer

Applications open in a new tab.

Original job description

English section of this bilingual listing.

FDM is a global business and technology consultancy delivering client and industry driven solutions through our 5 core specialist Practices; Software Engineering, Data & Analytics, IT Operations, Change & Transformation, and Risk, Regulation & Compliance.

FDM is seeking a Data Engineer located in Montreal to support a project in the financial services sector. Involvement in this project is anticipated to last initially 12 months but may be extended.

This role will be hybrid with requirements to be in office 3 days per week.

About You

What you'll do in the role:

Assist in developing and enhance Spark/Scala data pipelines on Databricks
Implement regulatory reporting business reasoning and assist production/RCA
Develop Python automation, operational controls, and unit/BDD tests
Transform/validate data in Snowflake and maintain data quality/documentation
Manage batch workflows in Autosys and participate in Agile/code reviews

What you’ll bring

Bachelor’s in CS/Engineering (or equivalent experience) with 3+ years in data engineering/software development
Strong programming in Java/Scala with Apache Spark fundamentals (debugging, failure analysis)
Experience with Snowflake (preferred) and solid SQL skills (joins, indexing, transactions, query optimization)
Python for scripting/automation/testing; familiarity with BDD and unit testing
Familiarity with SDLC, clean coding practices, and Agile ways of working
Clear communication and ability to work with complex financial datasets

Nice to have

Trade lifecycle knowledge; exposure to Equities/Options and Front Office trade/order data
Unix/Linux and shell scripting; batch schedulers (e.g., Autosys)

FDM is an award-winning global business and technology consultancy powering the people behind tech and innovation for over 30 years. We collaborate with world-leading companies to identify the expertise they need, exactly when they need it. We have helped successfully launch nearly 25,000 careers globally to date and are a trusted partner to over 300 companies worldwide.

FDM has 2500+ employees worldwide, with over 80 nationalities working together as a team. From our origins in Brighton, UK, FDM now has 19 centers located across North America, Europe and Asia-Pacific and is now on the FTSE4Good Index.

Dedicated to Diversity, Equity and Inclusion

FDM Group’s mission is to make tech and business careers accessible for everyone. Our diverse team of 80+ nationalities thrive on differences, fuels innovation through varied experiences, and celebrates shared successes. As an Equal Opportunity Employer that is listed on the FTSE4Good Index, FDM ensures every qualified applicant, regardless of race, color, religion, sex, sexual orientation, national origin, age, disability or any other status protected by federal or provincial law, gets the chance they deserve.

Please note that FDM’s recruitment and assessment processes involve third-party tools that use artificial intelligence.

ATTENTION: MONTREAL OPENINGS: Due to the operational requirements of these roles, including frequent communication with clients and FDM employees located outside Quebec, the duties associated with these positions require proficiency in English. / ATTENTION : OFFRES À MONTRÉAL : En raison des exigences opérationnelles de ces postes, y compris la communication fréquente avec des clients et des employés de FDM situés en dehors du Québec, les tâches associées à ces postes exigent une maîtrise de l'anglais.

Read the full bilingual original

About The Role

FDM est une société mondiale de conseil en affaires et en technologies, offrant des solutions adaptées aux besoins des clients et des secteurs grâce à ses cinq pôles d’expertise : Ingénierie logicielle, Données & analytique, Opérations TI, Gestion du changement & transformation, et Risques, réglementation & conformité.

FDM recherche un(e) spécialiste en ingénierie des données basé(e) à Montréal pour soutenir un projet dans le secteur des services financiers. La durée prévue de cette mission est initialement de 12 mois, avec possibilité de prolongation.

Ce poste est en mode hybride et requiert une présence au bureau 3 jours par semaine.

This role will be hybrid with requirements to be in office 3 days per week.

About You

Responsabilités :

Développer et optimiser des pipelines data (Spark/Scala sur Databricks) et des flux Snowflake (transformations/validations)
Implémenter la logique de reporting réglementaire et assurer le support production + RCA
Automatiser via Python (contrôles opérationnels, tests unitaires/BDD)
Orchestrer les traitements batch (Autosys) et contribuer aux revues de code / rituels Agile
Maintenir la qualité : documentation, standards de code et bonnes pratiques

Profil recherché :

Bac en informatique/ingénierie (ou équivalent) + 3 ans d’expérience en data engineering/développement
Java/Scala + bases solides Spark (debug, analyse d’échecs) ; Snowflake + SQL avancé (optimisation)
Python pour scripting/automation/testing ; SDLC et méthodes Agile
Bonne communication et aisance avec des données financières complexes

Atouts :

Trade lifecycle, Actions/Options, données Front Office
Unix/Linux, shell, Autosys ; environnements data à grande échelle / cas d’usage GenAI

_________________________________________________________________________________________________________________________

What you'll do in the role:

Assist in developing and enhance Spark/Scala data pipelines on Databricks
Implement regulatory reporting business reasoning and assist production/RCA
Develop Python automation, operational controls, and unit/BDD tests
Transform/validate data in Snowflake and maintain data quality/documentation
Manage batch workflows in Autosys and participate in Agile/code reviews

What you’ll bring

Bachelor’s in CS/Engineering (or equivalent experience) with 3+ years in data engineering/software development
Strong programming in Java/Scala with Apache Spark fundamentals (debugging, failure analysis)
Experience with Snowflake (preferred) and solid SQL skills (joins, indexing, transactions, query optimization)
Python for scripting/automation/testing; familiarity with BDD and unit testing
Familiarity with SDLC, clean coding practices, and Agile ways of working
Clear communication and ability to work with complex financial datasets

Nice to have

Trade lifecycle knowledge; exposure to Equities/Options and Front Office trade/order data
Unix/Linux and shell scripting; batch schedulers (e.g., Autosys)
Exposure to GenAI use cases and large-scale data environments

About FDM

Dedicated to Diversity, Equity and Inclusion

Please note that FDM’s recruitment and assessment processes involve third-party tools that use artificial intelligence.

Apply About employer

More about this job

Responsibilities

Develop and optimize data pipelines using Spark, Scala, and Databricks while managing data transformations in Snowflake. Implement regulatory reporting logic, automate operational controls with Python, and orchestrate batch workflows via Autosys.

Requirements

Requires a Bachelor's degree in Computer Science or Engineering with over 3 years of experience in data engineering or software development. Proficiency in Java/Scala, Spark, SQL, and Python is essential, along with familiarity with Agile methodologies.

Skills

Spark
Scala
Databricks
Snowflake
SQL
Python
Java
Autosys
Agile
SDLC
Unit Testing
BDD
Unix/Linux
Shell Scripting
Data Engineering
Regulatory Reporting

Visa sponsorship

Not detected in the job text

Keywords

Spark
Scala
Databricks
Snowflake
SQL
Python
Java
Autosys
Agile
SDLC
BDD
Unit Testing
Unix
Linux
Shell Scripting
GenAI
Trade Lifecycle
Equities
Options
Front Office
Financial Services
Regulatory Reporting
Data Pipelines
Batch Processing
RCA
Data Engineering
Consulting
Montreal
Hybrid Work

Report this job