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Added 6 days ago
Manager, Information Systems
Aecon
Hamilton, ON
…we build connect communities and power future generations. With deep roots in North America and a strong footprint internationally, Aecon brings global expertise and proudly serves public…
Added 6 days ago
Validation / Verification Eng, Manager - 18341
Synopsys
Ottawa, ON
…analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today…
Added 6 days ago
Validation / Verification Eng, Manager - 18754
Synopsys
Ottawa, ON
…analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today…
Added 6 days ago
W
Manager, Software (Embedded & Digital Products)
Wabtec
London, ON
- Full-time
Familiarity with modern digital-platform technologies. Relevant technologies may include C#, .NET, Python, REST APIs, SQL, MQTT, Docker, Kubernetes, Microsoft Azure, or AWS.
Added 6 days ago
EB
Analyst, Credit Risk (18 Month Contract)
EQ Bank
Toronto, ON
- Contract
Strong technical proficiency in SQL and Python, with demonstrated ability to manipulate, analyze, and interpret large datasets.
Added 6 days ago
GX
Azure Data Engineer (Automation & Integration)
Global X Canada
Toronto, ON
- $85,000 to $100,000 CAD / year
- Full-time
Implement monitoring, logging and alerting with Azure Monitor, Log Analytics and Application Insights.
Added 6 days ago
S
Senior Software Developer
Seequent
Calgary, AB
- Full-time
Reporting to the Team Lead, Software Development, the Senior Software Developer designs, builds, and operates the core services underpinning Evo, Seequent's cloud-based geoscience platform.…
Added 6 days ago
Analyst, Credit Risk (18 Month Contract)
EQ Bank | Canada's Challenger Bank
Toronto, ON
Strong technical proficiency in SQL and Python, with demonstrated ability to manipulate, analyze, and interpret large datasets.
Added 6 days ago
T
Senior Governance & Control Analyst
TD
Toronto, ON
- Full-time
Experience with coding or scripting languages (e.g., Python, SQL, VBA) to support data analysis, reporting, or automation initiatives
Added 6 days ago
M
Senior Applied AI Engineer – GenAI & Actuarial Systems
Manulife
Toronto, ON
- Full-time
Strong Python and SQL, with solid software engineering practices: Git-based workflows, code reviews, unit and integration testing, logging, readable code structure, and basic performance…
Added 6 days ago
M
Applied AI Engineer – GenAI Systems
Manulife
Toronto, ON
- Full-time
Strong Python + SQL, with solid software engineering practices: Git-based workflows, code reviews, unit/integration testing, logging, readable code structure, and basic performance tuning.
Added 6 days ago
MT
IC Validation Engineer Intern - BS/MS - 2027 Co-Op
Marvell Technology
Ottawa, ON · CA-ON - Ottawa
- Full-time
…assembling test stations, running & editing automation tools in Python. In collaboration with our engineering team, you will integrate, test and develop mission critical code to control,…
Added 6 days ago
QT
Jira Service Management Engineer(Atlassian Engineer)
Q1 Technologies, Inc.
Brampton, ON
- $37 to $40 CAD / hour
- Contract
Proficiency in Jira Service Management is essential for configuring and automating workflows. Strong Java and Python development skills are required for building applications and…
Added 6 days ago
Validation / Verification Engineer, Sr Staff -18261
Synopsys
Ottawa, ON
You are comfortable in the lab with an oscilloscope in one hand and a Python script in the other, moving between electrical measurements and data analysis without losing sight of what you…
Added 6 days ago
CL
Senior AI Platform Security Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics…
Added 6 days ago
J
Senior Data Engineer (Python / AWS / ML Pipelines)
Jobgether
Canada
- Full-time
Strong professional experience with Python and its application to data engineering and production systems.
Added 6 days ago
RE
Full Stack Python Developer
Randstad Enterprise
Montreal, QC
- Contract
Job Title: Full Stack Developer - Python and React
Added 6 days ago
AM
STA/Constraints Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
Good experience with Perl/TCL/Shell/Python scripting, and Verilog RTL design.
Added 6 days ago
AM
AI Platform Engineer, Silicon Design Infrastructure
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Strong software engineering skills in Python; C++ or similar languages are a plus, with experience building production services, APIs, automation solutions, and CI/CD pipelines.
Added 6 days ago
GM
GSC Business Manager
General Motors
Oshawa, ON
- Full-time
Partner with GSC leaders and cross-functional teams to identify issues, improve processes, and support execution of business priorities.
Added 6 days ago
G
Senior Software Engineer - Conversational AI (Python)
Glia
Remote, Canada
- Full-time
- Remote
…Glia customers quickly and confidently put Banking AI to work with measurable results from day one. More information about Glia can be found at…
Added 6 days ago
N
IT Network Software/AI Development - Co-op/Intern
Nokia
Canada
- Full-time
Coursework or hands‑on experience with Python programming, SQL statements, and PowerShell scripting
Added 6 days ago
I
Python Developer_6+ yrs
Inadev
Toronto, ON
- Full-time
Hands-on experience with Agentic AI / Generative AI
Added 6 days ago
SI
Silicon Validation Software Engineer (Sr Staff)
Synopsys Inc
Mississauga, ON
- Full-time
You are comfortable sitting with an analog designer reviewing scope traces one hour and writing Python to parse gigabytes of characterization data the next. You do not wait for perfect…
Added 7 days ago
Sr. Analyst, Business Intelligence
Viral Nation Inc.
Canada
At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and…

Jobgether

Senior Data Engineer (Python / AWS / ML Pipelines)

Canada

Full-time

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Job details

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

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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