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Added 4 hours ago
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
$110,000 to $150,000 CAD / year
Full-time
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability…
Added 10 hours ago
Senior Security Engineer, Detection and Response
Marqeta
Remote, Canada
Full-time · Remote
We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management (IAM) and proven expertise in cloud-native environments, particularly AWS. In…
Added 12 hours ago
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Support DevOps and DataOps best practices, including CI/CD, infrastructure-as-code, and automated testing across data pipelines
Added 12 hours ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
Support DevOps and DataOps best practices, including CI/CD, infrastructure-as-code, and automated testing across data pipelines
Added 13 hours ago
OBSERVABILITY ENGINEER
Apptoza Inc.
Halifax, NS
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You’ll own the complete observability…
Added 16 hours ago
Staff Software Engineer – AI
Thomson Reuters
Toronto, ON
Full-time
As a Staff Software Engineer – AI on the Confirmation Product Engineering team, you will be a hands-on technical leader building and delivering production platform and AI capabilities. This…
Added 16 hours ago
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 17 hours ago
Observability Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You’ll own the complete observability…
Added 18 hours ago
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
Full-time
· Partner with platform, infrastructure, security, and client IT teams to address environment setup, access, deployment, support, and operational-readiness requirements.
Added 18 hours ago
Senior Analytics Engineer – Data Modeling
SPECTRAFORCE
Toronto, ON · Greater Toronto Area, Canada
Contract
…role is focused on modeling and business solutions rather than platform or pipeline infrastructure, and it works as a peer to the team's data…
Added 20 hours ago
Robotics Engineer, Teleoperation and Data Collection - Physical AI Hub, Kitchener
Siemens
Kitchener, ON
Full-time
We are seeking a Robotics Data Engineer to build the teleoperation and data collection layer for the Physical AI Runtime. This engineer will design pipelines for demonstration data,…
Added 20 hours ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Full-time
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 20 hours ago
Observability Engineer
Envision Technology Solutions
Toronto, ON
Contract
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. In this role, you will own the complete…
Added 20 hours ago
Machine Learning Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and…
Added 20 hours ago
AI Engineer Intern
Electronic Arts
Vancouver, BC
The Infrastructure and Platform Services (IPS) team serves as the backbone of EA's global ecosystem, supporting the creation of exceptional games and immersive player experiences. We offer…
Added 22 hours ago
Applied AI Engineer - Engineering Simulation & Design Exploration
Bentley Systems
Quebec, QC · Greater Quebec City Metropolitan Area
Full-time
Applied AI Engineer – Engineering Simulation & Design Exploration
Added 22 hours ago
OBSERVABILITY ENGINEERER
LanceSoft, Inc.
Halifax, NS
$55 to $60 CAD / hour
Contract
We are seeking an experienced Observability Engineer to join our EnterpriseKubernetes Platform team at a leading financial services organization. Youllown the complete observability stack…
Added 23 hours ago
Senior Data Engineer (Python / AWS / ML Pipelines)
Jobgether
Canada
Full-time
Contribute to architectural and technical decisions related to the data platform, ML infrastructure, and production workflows.
Added 23 hours ago
AI Platform Engineer, Silicon Design Infrastructure
Advanced Micro Devices, Inc
Markham, ON
Full-time
We are seeking a hands-on engineer to build and operate the development infrastructure and AI solutions that underpin AMD's AI-assisted silicon design program. This role sits at the…
Added 1 day ago
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Quartz
Open Hall, NL
Full-time
Quartz is reimagining wealth management through personalised intelligence. It's the first wealth platform that truly learns from you, understands your goals, and helps you make confident,…
Added 1 day ago
Senior Agentic AI Engineer- Physical AI hub, Kitchener
Siemens
Kitchener, ON
Full-time
We are seeking a Senior Agentic AI Engineer to build the harness reasoning, monitoring, recovery, and completion-gating capabilities for the Physical AI Runtime. This engineer will design…
Added 1 day ago
Robotics Engineer - Edge Runtime, Physical AI Hub, Kitchener
Siemens
Kitchener, ON
Full-time
We are seeking a Robotics Engineer - Edge Runtime to help build and optimize the edge software layer for the Physical AI Runtime. This engineer will work on edge development, robotics…
Added 1 day ago
AI Platform Engineer, Silicon Design Infrastructure
AMD
Markham, ON
$155,200 to $232,800 USD / year
Full-time
We are seeking a hands-on engineer to build and operate the development infrastructure and AI solutions that underpin AMD's AI-assisted silicon design program. This role sits at the…
Added 1 day ago
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon Web Services (AWS)
Montreal, QC
Full-time
…solutions ML et/ou GenAI, déployer les solutions validées sur l'infrastructure sous-jacente et assurer la formation des équipes…
Added 1 day ago
Infra / Cloud & GenAI Architect
Tata Consultancy Services
Calgary, AB
Full-time
…clients to transform themselves across the full AI stack, from infrastructure to…

Jobgether

Senior Data Engineer (Python / AWS / ML Pipelines)

Canada

Job type: Full-time
Posting language: English
Posted: Oct 1, 2026

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Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer (Python / AWS / ML Pipelines) based in Canada.

As a Senior Data Engineer, you will build and operate large-scale data and machine learning pipelines in a production environment.

You will work across data engineering, cloud infrastructure, and machine learning operations to turn models into reliable production workflows.

The role focuses heavily on Python, AWS, ETL, workflow orchestration, and scalable ML infrastructure.

You will collaborate closely with Data Scientists and ML Engineers to productionize forecasting and data-driven solutions.

You will also help improve the reliability, performance, and observability of critical data pipelines.

Working within distributed Agile teams, you will contribute to architecture decisions and technical improvements across the data platform.

This is an opportunity to work on challenging production systems while continuing to develop your cloud and ML engineering expertise.

Accountabilities

Build, maintain, and improve production-grade data and machine learning pipelines supporting forecasting and data-driven decision-making.
Develop ETL and data-processing workflows using Python, ensuring they are scalable, reliable, and maintainable.
Design and orchestrate workflows using technologies such as Apache Airflow and AWS Step Functions.
Use AWS Glue for data processing, transformation, and pipeline execution.
Support the deployment and operationalization of machine learning models using AWS SageMaker.
Work closely with Data Scientists and ML Engineers to move models and analytical solutions reliably into production.
Monitor pipeline health and performance, troubleshoot production issues, and implement improvements to reliability, scalability, and efficiency.
Contribute to architectural and technical decisions related to the data platform, ML infrastructure, and production workflows.
Collaborate effectively with distributed, cross-functional Agile teams and contribute ideas that improve engineering practices and delivery.

Requirements

Strong professional experience with Python and its application to data engineering and production systems.
Proven experience building and maintaining data pipelines and/or machine learning pipelines in production.
Hands-on experience with Apache Airflow for workflow orchestration.
Practical experience with AWS Step Functions and AWS Glue.
Experience deploying and supporting machine learning models using AWS SageMaker.
Strong hands-on experience with AWS cloud services and cloud-based production environments.
Experience working with systems operating at significant scale, with a strong understanding of reliability and performance considerations.
Experience collaborating closely with Data Scientists, ML Engineers, and other technical stakeholders.
Strong troubleshooting, analytical, and problem-solving abilities.
Excellent written and verbal English communication skills.
Comfortable working independently and collaboratively within distributed, cross-functional teams.
Experience with GCP is a plus but not required.
Familiarity with monitoring and observability tools is also advantageous.

Benefits

Collegial working environment where responsibility and decision-making are shared across the team.
Agile culture where employees are encouraged to contribute ideas and influence technical direction.
Supportive approach to learning from mistakes and continuously improving ways of working.
Opportunities to work on different projects and broaden your technical experience.
Ongoing training, mentoring, and professional development.
Opportunities for career growth and exposure to new technologies and challenges.
Possibility of business travel.
Flexible working arrangements appropriate to a distributed team.
Additional salary, healthcare, and other employment benefits may vary according to local terms in Slovenia.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Build, operate, and improve production-grade data and machine learning pipelines for forecasting and data-driven decision-making using Python and AWS services. Collaborate with Data Scientists, ML Engineers, and distributed Agile teams to productionize models, monitor pipeline performance, resolve issues, and contribute to data platform architecture.

Requirements

Requires strong professional Python experience, a track record building production data or ML pipelines, and hands-on experience with Apache Airflow, AWS Step Functions, AWS Glue, and AWS SageMaker. Candidates should also have substantial AWS production experience, understand reliability and performance at scale, and communicate and collaborate effectively; GCP and observability tools are advantageous.

Skills

Python
AWS
Data Engineering
Machine Learning Pipelines
ETL
Apache Airflow
AWS Step Functions
AWS Glue
AWS SageMaker
Cloud Infrastructure
Workflow Orchestration
Machine Learning Operations
Production Systems
Monitoring and Observability
Troubleshooting
Agile Collaboration

Benefits

Professional Development
Training
Mentoring
Career Growth
Flexible Working Arrangements
Business Travel Opportunities
Healthcare
Additional Salary Benefits

Visa sponsorship

Not detected in the job text

Keywords

Python
AWS
Data Engineering
Machine Learning
Machine Learning Operations
ETL
Apache Airflow
AWS Step Functions
AWS Glue
AWS SageMaker
GCP
Cloud Infrastructure
Workflow Orchestration
Data Processing
Forecasting
Production Pipelines
Scalable Systems
Reliability
Performance Optimization
Monitoring
Observability
Troubleshooting
Data Scientists
ML Engineers
Agile
Distributed Teams
Data Platform
Architecture
Production Workflows

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