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Added 3 mins ago
Senior AML IT Developer
TD
Toronto, ON
Full-time
The Java Developer / Data Engineer will join the Compliance, Surveillance & Supervision Product Technology team, which delivers technology solutions supporting the Compliance, Surveillance,…
Added 3 mins ago
Systems Designer - Ingénieur/développeur systèmes
Grantek
Montreal, QC
Full-time
…mentoring program, where they will work directly beside our Senior Engineer…
Added 4 mins ago
Senior Software Engineer
SALT XC
Toronto, ON
Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing,…
Added 34 mins ago
Lead Threat Intelligence Engineer
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
Full-time
This is a senior individual-contributor role, where you'll be expected to establish and formalize how Clio tracks adversaries. This is the first hire in a function Clio intends to grow -…
Added 1 hour ago
Senior Data Implementation Engineer
Odaia Intelligence Inc.
Toronto, ON
Full-time
As a Senior Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable…
Added 1 hour ago
MCP/AI Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
Debug and troubleshoot across the stack (agent/tool logic, APIs, web UI), collaborating with senior engineers and QA.
Added 2 hours ago
Senior Software Engineer
AgileGrid Solutions
Canada
Full-time
As a Senior Mobile Engineer specializing in iOS at DraftKings, you will play a vital role in shaping the future of our mobile products. Your expertise will help develop and maintain…
Added 2 hours ago
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
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 2 hours ago
Machine Learning Systems and Infrastructure Developer
Siemens
Kitchener, ON
Partner with the Senior AI/ML and Robotics Platform Engineer on dataset readiness, evaluation semantics, and model-quality criteria.
Added 2 hours ago
Senior Data Engineer
TriMech
Oakville, ON
Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 5 hours ago
Senior Data Engineer
Pomerleau
Montreal, QC
We are building a modern data platform to power our Business Intelligence, AI, and analytics initiatives. As a Senior Data Engineer, you will own the data foundation end to end: ingesting…
Added 5 hours ago
Intermediate Instrumentation and Controls Engineer-Water
Stantec
Burnaby, BC
Full-time
…currently seeking a Intermediate-level Instrumentation and Controls Engineer with strong interest in being part of a purpose-driven organization that is focused on helping our clients,…
Added 6 hours ago
Renewable Energy Engineer (Entry-Level)
Renewable Careers
Toronto, ON
$80,000 to $110,000 CAD / year
Full-time
…are expanding our Toronto team and looking for an entry-level engineer who wants to help build Canada's clean energy…
Added 8 hours ago
Senior Azure Cloud Platform Engineer
Agility IT
Toronto, ON
Contract
Our consulting client is seeking an experienced Senior Azure Cloud Platform Engineer to design, deploy, and support enterprise-grade Azure data and analytics platforms, including Power BI.
Added 9 hours ago
Intern, Developer (Winter 2027)
Bombardier
Mississauga, ON
$17.95 to $31 CAD / hour
Volunteer
Engineer backend automation scripts and data integration pipelines with Python and SQL, leveraging operational data to drive real-time insights and transformation on the shop floor.
Added 9 hours ago
Embedded Software Engineer (C/C++), Machine Learning
Qualcomm
Markham, ON
Full-time
1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
Added 15 hours ago
Delivery Lead
Fastloop
Vancouver, BC
Full-time
You are a senior, AI-native delivery lead who owns engagement outcomes end to end: shaping the solution, defining and planning the work, leading the client, and making sure what we build is…
Added 15 hours ago
Senior Software Engineer, iOS
Tubi
Toronto, ON
Full-time
As a Senior iOS Engineer at Tubi, you’ll play a critical role on our mobile engineering team, focusing on developing, improving, and maintaining our iOS, tvOS, and visionOS applications.…
Added 15 hours ago
Senior Programmer Analyst (24 Month Contract)
Doctors of BC
Vancouver, BC · BC
Full-time
The Senior Programmer Analyst maintains business continuity for existing applications while progressively migrating business processes, data and functionality to sustainable enterprise…
Added 15 hours ago
Senior Machine Learning Engineer
Takeaway
Edmonton, AB
Full-time
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and…
Added 16 hours ago
Senior Data Engineer
Quandri
Vancouver, BC
Develop and maintain cloud databases with the Infrastructure team, improve data retrieval and optimize analytics dashboards.
Added 16 hours ago
Senior Data Engineer
Quandri
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
Develop and maintain cloud databases with the Infrastructure team, improve data retrieval and optimize analytics dashboards.
Added 16 hours ago
Online Calibration & SLAM Engineer
Mecka
Richmond Hill, ON
$200,000 to $230,000 CAD / year
Full-time
We're looking for a hands-on Senior SLAM & Calibration Engineer to own how Mecka's devices stay calibrated after they leave the factory. Cameras and IMUs drift over months and mounts warp,…
Added 17 hours ago
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent…
Added 17 hours ago
Software Engineer in Test
Galactic Minds INC
Vancouver, BC
Full-time

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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