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Added 21 mins ago
KC
IAM Support Engineer – ETL & Data Modeling
KeyData Cyber
Toronto, ON
- Full-time
We are currently looking to hire an IAM Support Engineer – ETL & Data Modeling to join KeyData Cyber’s Managed Services team. In this role, you will provide Level 2 support for our…
Added 49 mins ago
ZS
SAS Technical Consultant
Zodiac Solutions, Inc
Markham, ON
- Contract
…deep expertise in Base SAS, SAS Enterprise Guide, SAS Macros, ETL/Data Processing, and enterprise data warehousing concepts, with the ability to analyze complex SAS estates and guide…
Added 1 hour ago
Software Engineer
Scotiabank
Toronto, ON
The successful candidate will have a strong foundation in Data warehousing, ETL processes, and scheduling.
Added 1 hour ago
RT
Conseiller(ère) sénior, Gestion des données de Foundry | Senior Advisor, Foundry Data Management
Rio Tinto
Montreal, QC
- Full-time
Expérience démontrée dans la conception et l’orchestration de pipelines ETL ainsi qu’en modélisation de données.
Added 1 hour ago
H
Senior Quality Engineer
Hays
Toronto, ON
- $65 to $80 CAD / hour
- Contract
…This role is focused on quality engineering, test automation, ETL validation, and data pipeline testing across Azure and Google Cloud environments. You'll work closely with data engineers,…
Added 1 hour ago
H
Data Quality Engineer
Hays
Toronto, ON
- Contract
…validate data accuracy, integrity, and system functionality in ETL pipelines across Azure and GCP, including both functional and non-functional…
Added 2 hours ago
T
Senior Quality Engineer
Tangerine
Toronto, ON
- Full-time
We are looking for a Senior Quality Engineer to join our Quality Engineering team. This person will be responsible for ETL testing, data validation, source-to-target reconciliation, data…
Added 2 hours ago
Senior Quality Engineer
Scotiabank
Toronto, ON
We are looking for a Senior Quality Engineer to join our Quality Engineering team. This person will be responsible for ETL testing, data validation, source-to-target reconciliation, data…
Added 2 hours ago
BC
Data Platform Administrator/Developer
BBA Consultants
Mont-Saint-Hilaire, QC · Mont-St-Hilaire, QC
- Full-time
Design and maintain cloud-based data pipelines (ETL/ELT)
Added 2 hours ago
ES
Semantic Model Senior Developer
Epsilon Solutions Ltd.
Mississauga, ON
- Contract
Experience with ETL or ELT technologies such as SSIS, Azure Data Factory, or equivalent platforms.
Added 2 hours ago
BC
Data Platform Administrator/Developer
BBA Consultants
Montreal, QC
- Full-time
Design and maintain cloud-based data pipelines (ETL/ELT)
Added 2 hours ago
BC
Data Platform Administrator/Developer
BBA Consultants
Boisbriand, QC
- Full-time
Design and maintain cloud-based data pipelines (ETL/ELT)
Added 3 hours ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
Implement data ingestion techniques (streaming and batch) using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and data tools
Added 3 hours ago
RI
Senior Data Architect (Databricks, Azure & Enterprise Data Integration)
Rose International
Edmonton, AB
- Full-time
Proven experience designing enterprise integration patterns, including REST APIs, ETL/ELT, event streaming, and change data capture
Added 3 hours ago
Senior Data Specialist, Retro Administration
Munich Re
Toronto, ON
Support ETL processes and data transformation requirements across operational systems.
Added 3 hours ago
C
Senior Data Engineer
Clio
Canada
- Full-time
Implement data ingestion techniques (streaming and batch) using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and data tools
Added 3 hours ago
C
Senior Data Engineer
Clio
Toronto, ON
- Full-time
Implement data ingestion techniques (streaming and batch) using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and data tools
Added 3 hours ago
MP
Data Engineer
Michael Page
Winnipeg, MB
- $80,000 to $100,000 CAD / year
- Full-time
…similar role, with strong expertise in Python, PySpark, SQL, ETL development, and Microsoft data…
Added 4 hours ago
A
Staff Data Developer
AtkinsRéalis
Montreal, QC
- Full-time
We are looking for a practical, collaborative, and technically strong Staff Data Developer who can lead complex engineering work while remaining close to delivery and operations. The role…
Added 5 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Added 5 hours ago
P
Business Intelligence Data Warehouse Consultant
ProxyLink
Toronto, ON
- Contract
The BI & Data Warehouse Developer will work closely with technical teams, business stakeholders, and project professionals throughout the Software Development Life Cycle (SDLC). The role…
Added 5 hours ago
VF
Sr. Analyst, Business Intelligence
Village Farms International
Montreal, QC
- Full-time
Développer et soutenir les processus ETL et d’ingestion de données intégrant l’information provenant de fichiers Excel/CSV, SharePoint, API ainsi que d’autres sources internes et externes.
Added 5 hours ago
NE
Junior Settlements Data Analyst
Nexus Energy
Toronto, ON
- Contract
Familiarity with cloud-based data platforms and modern data processing practices, including ETL workflows, version control tools (e.g., Git), and data integration or automation techniques;…
Added 5 hours ago
ZC
Python Developer
Ztek Consulting
Montreal, QC
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking a Python & SQL Developer with 5-8 years of experience in designing, developing, and supporting data-driven applications and solutions. The ideal candidate will have strong…
Added 6 hours ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Vancouver, BC
- Full-time
Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party…

Highspring

Senior Python Engineer - Data Platforms

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 21, 2026
Experience: Minimum de 6 ans d'expérience en développement logiciel, développement backend, ingénierie de données ou domaine connexe.
Posting language: English · French
Posted: Oct 7, 2026

Original job description

English section of this bilingual listing.

Highspring is a next-generation consulting and professional services firm. We deliver modern, agile, and forward-thinking solutions to our clients across North America. We partner with organizations to help them build scalable technology solutions, accelerate digital transformation, and deliver meaningful business outcomes. At Highspring, we foster collaboration, technical excellence, and continuous learning, empowering our people to make a real impact.

The Opportunity

Highspring is seeking a Senior Python Engineer to join a high-performing Data & AI team responsible for building modern data platforms that power advanced analytics and machine learning initiatives. This role is ideal for a software developer with strong Python expertise who enjoys solving complex technical challenges, processing large-scale data, and building scalable cloud-based solutions.

You will work alongside Data Scientists, Architects, Product Owners, and Engineers to develop the data foundations that support next-generation AI and analytics capabilities.

What You'll Do

Design, develop, and maintain scalable Python-based solutions supporting analytics and machine learning initiatives.
Build and optimize data ingestion, transformation, and processing workflows using modern cloud technologies.
Develop high-performance applications capable of processing large volumes of data efficiently.
Collaborate with Data Scientists, Architects, Business Analysts, and Product Owners to deliver reliable and scalable data products.
Contribute to technical design discussions and influence architecture decisions.
Promote engineering best practices related to software quality, scalability, security, and maintainability.
Support production environments and continuously improve platform performance and reliability.
Work within Agile teams to deliver high-quality solutions in a fast-paced environment.

What You Bring to the Table

6+ years of experience in Software Engineering, Backend Development, Data Engineering, or related fields.
Strong analytical, troubleshooting, and problem-solving skills.
Experience working in Agile delivery environments.
Ability to collaborate effectively with cross-functional technical teams.
Strong communication skills and a team-first mindset.
Passion for innovation, continuous learning, and engineering excellence.

Core Skills Required

Advanced proficiency in Python.
Strong software engineering fundamentals including object-oriented programming, code quality, testing, and scalable architecture.
Hands-on experience with PySpark.
Strong SQL development and optimization skills.
Experience building distributed data processing applications and data pipelines.
Hands-on experience with Databricks and/or Snowflake.
Experience working with cloud platforms such as AWS or GCP.
Strong understanding of data governance, security, and data quality best practices.

Nice to Have

Experience supporting Machine Learning or AI initiatives.
Experience working within large-scale Data & AI organizations.
Knowledge of orchestration tools such as Airflow.
Experience with GCP-based data services.
Exposure to modern lakehouse architectures and cloud-native data platforms.

Our Stack

Programming: Python, SQL, PySpark
Data Platforms: Databricks, Snowflake
Cloud: AWS, GCP
Data Processing: ETL / ELT, Big Data
Methodology: Agile / Scrum
AI & Analytics: Machine Learning, Advanced Analytics

Why Join Highspring

Work on impactful Data & AI initiatives that influence large-scale business decisions.
Collaborate with highly skilled engineers, architects, and data professionals.
Gain exposure to modern cloud and data technologies.
Build scalable solutions that support advanced analytics and machine learning workloads.
Grow your career in an environment that values innovation, technical excellence, and continuous learning.

Read the full bilingual original

À propos de Highspring

Highspring est une firme de consultation et de services professionnels de nouvelle génération. Nous accompagnons nos clients à travers l'Amérique du Nord en offrant des solutions technologiques modernes, agiles et innovantes. Nous aidons les organisations à accélérer leur transformation numérique, à bâtir des solutions technologiques évolutives et à générer des résultats d'affaires concrets. Chez Highspring, nous valorisons la collaboration, l'excellence technique et le développement continu de nos talents.

L'opportunité

Highspring est à la recherche d'un(e) Senior Python Engineer pour rejoindre une équipe de haut niveau spécialisée en Data & IA. Ce rôle s'adresse à un développeur logiciel passionné par Python qui souhaite relever des défis techniques complexes, traiter des volumes massifs de données et contribuer à la conception de plateformes modernes alimentant des initiatives avancées d'intelligence artificielle et d'analytique.

Vous collaborerez étroitement avec des Data Scientists, Architectes, Machine Learning Engineer, Product Owners et autres ingénieurs afin de développer les fondations technologiques nécessaires aux solutions de nouvelle génération.

Ce que vous ferez

Concevoir, développer et maintenir des solutions évolutives basées sur Python supportant des initiatives en analytique et intelligence artificielle.
Développer et optimiser des processus d'ingestion, de transformation et de traitement de données à grande échelle.
Construire des applications performantes capables de traiter de très importants volumes de données.
Collaborer avec les équipes de Data Science, d'Architecture, d'Analyse d'affaires et de Gestion de produit afin de livrer des solutions robustes et fiables.
Participer aux discussions d'architecture et influencer les décisions techniques.
Promouvoir les meilleures pratiques d'ingénierie logicielle en matière de qualité, de sécurité, de performance et de maintenabilité.
Assurer le soutien des environnements de production et l'amélioration continue des plateformes.
Évoluer au sein d'équipes Agile et contribuer à la livraison de solutions de haute qualité.

Ce que vous apportez

Minimum de 6 ans d'expérience en développement logiciel, développement backend, ingénierie de données ou domaine connexe.
Excellentes capacités d'analyse, de résolution de problèmes et de débogage.
Expérience de travail dans des environnements Agile.
Capacité à collaborer efficacement avec des équipes multidisciplinaires.
Excellentes habiletés de communication et esprit d'équipe.
Passion pour l'innovation, l'apprentissage continu et l'excellence technique.

Compétences requises

Excellente maîtrise de Python.
Solides fondations en ingénierie logicielle : programmation orientée objet, conception d'architecture, qualité de code et tests.
Expérience pratique avec PySpark.
Solide expérience avec SQL.
Expérience dans le développement d'applications distribuées et de pipelines de traitement de données.
Expérience avec Databricks et/ou Snowflake.
Expérience avec des plateformes infonuagiques telles qu'AWS ou GCP.
Expérience du traitement de données à grande échelle à l'aide de technologies Big Data modernes.
Bonne compréhension des concepts de gouvernance, de sécurité et de qualité des données.

Atouts

Expérience dans des projets d'intelligence artificielle ou de machine learning.
Expérience au sein d'équipes ou d'organisations Data & IA à grande échelle.
Connaissance d'outils d'orchestration tels qu'Airflow.
Expérience avec les services de données avec GCP.
Connaissance des architectures Lakehouse et des plateformes de données cloud modernes.

Notre environnement technologique

Langages : Python, SQL, PySpark
Plateformes de données : Databricks, Snowflake
Cloud : AWS, GCP
Traitement de données : ETL, ELT, Big Data
Méthodologie : Agile / Scrum
IA et analytique : Machine Learning, Analytique avancée

Pourquoi joindre Highspring ?

Participer à des initiatives Data & IA à fort impact.
Collaborer avec des spécialistes reconnus en développement logiciel, architecture et données.
Travailler avec des technologies modernes dans des environnements cloud de pointe.
Contribuer à la création de plateformes soutenant l'analytique avancée et l'intelligence artificielle.
Évoluer dans un environnement qui valorise l'innovation, l'excellence technique et le développement professionnel continu.

-------------------------------------------------------------------------------------------------

About Highspring

The Opportunity

You will work alongside Data Scientists, Architects, Product Owners, and Engineers to develop the data foundations that support next-generation AI and analytics capabilities.

What You'll Do

Design, develop, and maintain scalable Python-based solutions supporting analytics and machine learning initiatives.
Build and optimize data ingestion, transformation, and processing workflows using modern cloud technologies.
Develop high-performance applications capable of processing large volumes of data efficiently.
Collaborate with Data Scientists, Architects, Business Analysts, and Product Owners to deliver reliable and scalable data products.
Contribute to technical design discussions and influence architecture decisions.
Promote engineering best practices related to software quality, scalability, security, and maintainability.
Support production environments and continuously improve platform performance and reliability.
Work within Agile teams to deliver high-quality solutions in a fast-paced environment.

What You Bring to the Table

6+ years of experience in Software Engineering, Backend Development, Data Engineering, or related fields.
Strong analytical, troubleshooting, and problem-solving skills.
Experience working in Agile delivery environments.
Ability to collaborate effectively with cross-functional technical teams.
Strong communication skills and a team-first mindset.
Passion for innovation, continuous learning, and engineering excellence.

Core Skills Required

Advanced proficiency in Python.
Strong software engineering fundamentals including object-oriented programming, code quality, testing, and scalable architecture.
Hands-on experience with PySpark.
Strong SQL development and optimization skills.
Experience building distributed data processing applications and data pipelines.
Hands-on experience with Databricks and/or Snowflake.
Experience working with cloud platforms such as AWS or GCP.
Experience processing large-scale datasets using modern Big Data technologies.
Strong understanding of data governance, security, and data quality best practices.

Nice to Have

Experience supporting Machine Learning or AI initiatives.
Experience working within large-scale Data & AI organizations.
Knowledge of orchestration tools such as Airflow.
Experience with GCP-based data services.
Exposure to modern lakehouse architectures and cloud-native data platforms.

Our Stack

Programming: Python, SQL, PySpark
Data Platforms: Databricks, Snowflake
Cloud: AWS, GCP
Data Processing: ETL / ELT, Big Data
Methodology: Agile / Scrum
AI & Analytics: Machine Learning, Advanced Analytics

Why Join Highspring

Work on impactful Data & AI initiatives that influence large-scale business decisions.
Collaborate with highly skilled engineers, architects, and data professionals.
Gain exposure to modern cloud and data technologies.
Build scalable solutions that support advanced analytics and machine learning workloads.
Grow your career in an environment that values innovation, technical excellence, and continuous learning.

Apply About employer

More about this job

Responsibilities

Design, develop, and maintain scalable Python solutions and large-scale data ingestion, transformation, and processing workflows for analytics and machine learning initiatives. Collaborate with cross-functional teams on architecture and reliable data products, promote engineering best practices, and support and improve production platforms.

Requirements

Requires at least six years of experience in software engineering, backend development, data engineering, or a related field, along with advanced Python skills, PySpark, SQL, and strong software engineering fundamentals. Candidates should have experience with distributed data applications, large-scale data processing, Databricks and/or Snowflake, AWS or GCP, Agile teams, and data governance, security, and quality.

Skills

Python
PySpark
SQL
Databricks
Snowflake
AWS
GCP
Distributed Data Processing
Data Pipelines
Big Data
Data Governance
Data Security
Data Quality
Object-Oriented Programming
Agile
Airflow

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
PySpark
Databricks
Snowflake
AWS
GCP
Airflow
Data Engineering
Data Platforms
Data Pipelines
Data Ingestion
Data Transformation
Distributed Data Processing
Big Data
ETL
ELT
Machine Learning
Artificial Intelligence
Advanced Analytics
Lakehouse Architecture
Cloud-Native Data Platforms
Object-Oriented Programming
Software Architecture
Software Testing
Data Governance
Data Security
Data Quality
Agile
Scrum

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