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Added 1 hour ago
Senior BigQuery Engineer (Local to Quebec)
Apptad
Montreal, QC
Contract
We are seeking a Senior BigQuery Engineer to design, build, and optimize scalable data solutions on Google Cloud Platform. This role will develop reliable data warehouses, ETL/ELT…
Added 1 hour ago
Senior Data Engineer
AgileGrid Solutions
Canada
Full-time
The Data and AI Technology (DAT) Engineering team at BMO is seeking a highly skilled Data Engineer to join our dynamic group. This role involves leading the end-to-end development of data…
Added 1 hour ago
Azure Data Engineer (Automation & Integration)
Global X Canada
Toronto, ON
$85,000 to $100,000 CAD / year
Full-time
Global X Investments Canada Inc. is seeking an Azure Data Engineer to help build, support and automate our Azure-based data infrastructure. Reporting to the SVP, Digital Innovation & Data…
Added 2 hours ago
Platform Engineer (Netezza)
CBL Solutions
Toronto, ON
Contract
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong…
Added 3 hours ago
Senior Data Engineer (Python / AWS / ML Pipelines)
Jobgether
Canada
Full-time
…all applications and next steps. Our partner is looking for a Senior Data Engineer (Python / AWS / ML Pipelines) based in…
Added 14 hours ago
Senior Data Engineering
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
We are looking for an exceptional analytics/data engineer to transform, optimize, test, and maintain architectures for enterprise analytics databases, data pipelines, and processing…
Added 19 hours ago
Data Engineer
Hays
Toronto, ON
Contract
We are seeking an experienced Senior Data Engineer with a strong background in Asset Management and modern cloud-based data platforms. The successful candidate will play a key role in…
Added 19 hours ago
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 20 hours ago
Senior Software Engineer
Supernova Technology™
Toronto, ON
Full-time
As a Senior Software Engineer, you will play a critical role in defining the architecture and technical vision for Supernova’s cloud-based Security-Based Lending (SBL) SaaS platform. You…
Added 20 hours ago
Databricks Developer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
$75 to $95 CAD / hour
Contract
Our client is seeking an experienced Senior Azure Databricks Data Engineer to design, build and support scalable enterprise data pipelines and modern lakehouse solutions. The successful…
Added 1 day ago
GCP Senior Data Engineer
J&M Group
Canada
Contract
Develop ETL/ELT solutions using Dataflow, Spark, Pub/Sub, and BigQuery.
Added 1 day ago
Software Engineer - Health Systems
FluidAI Medical
Kitchener, ON
We are looking for a Software Engineer to build and deliver the applications, data tools and integrations supporting FluidAI’s health systems technology initiatives. You will work across…
Added 1 day ago
Jr. Software Engineer - Health Systems
FluidAI Medical
Kitchener, ON
We are looking for a Jr. Software Engineer to help build and deliver the applications, data tools and integrations supporting FluidAI’s health systems technology initiatives. You will work…
Added 1 day ago
Senior Databricks Data Engineer / Solutions Architect
vikat.AI
Ottawa, ON
Contract
We’re looking for a **Senior Databricks Data Engineer / Solutions Architect** to own an **Azure Databricks Lakehouse** from data ingestion and engineering through governed data products,…
Added 1 day ago
GCP Senior Data Engineer
Axiom Global Technologies
Canada
Contract
…platforms on Google Cloud. This is a leadership role, not a senior individual contributor position. You will set technical direction, review code, and make sure the team delivers reliable,…
Added 1 day ago
Senior Data Engineer
Rivago Infotech Inc
Toronto, ON
Contract
· Strong experience in designing and building DWH, Data lake ETL based applications with scalability and performance
Added 1 day ago
Data Engineer
Talentmatics
Mississauga, ON
Full-time
Data Engineer | Senior Data Engineer | Lead Data Engineer | Snowflake | SQL | SSIS | ETL | ELT | Python | PySpark | Data Warehouse | Data Modeling | Capital Markets | Trading | Market Data…
Added 1 day ago
GCP Senior Data Engineer
Aptino, Inc.
Canada
Contract
We are looking for a GCP Senior Data Engineer – Lead with strong hands-on data engineering expertise and proven experience leading onshore/offshore data engineering teams.
Added 1 day ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Interested in joining one of Canada's top performing asset managers? We are looking for a Senior Data Integration Engineer for an existing vacancy in our IT department, Connor, Clark & Lunn…
Added 1 day ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Interested in joining one of Canada's top performing asset managers? We are looking for a Senior Data Integration Engineer for an existing vacancy in our IT department, Connor, Clark & Lunn…
Added 1 day ago
Senior Backend Developer - Spectra
GHGSat
Montreal, QC
Full-time
We are looking for a senior engineer who wants their work to matter, who takes pride in building software that is reliable and genuinely useful, and who makes the team around them better.
Added 1 day ago
SQL Developer / Data Engineer
TD
Toronto, ON
Full-time
Position Title: Senior SQL Developer / Data Engineer
Added 1 day ago
Senior Data Engineer
AGLC
AB · Edmonton, AB
Full-time
…decision‑making, and innovative digital services. We are looking for a Senior Data Engineer to help shape the next evolution of our data ecosystem and lead the design of modern, scalable…
Added 1 day ago
Senior GoLang Engineer
Aarista Technologies
Vancouver, BC
Full-time
We're looking for a Full Stack Software Engineer who is equally comfortable architecting robust backend services in GoLang and building rich, data-heavy interfaces in React. This is a…
Added 1 day ago
Senior Data Engineer
Confluence Technologies
Canada
Full-time
We’re looking for a Senior Data Engineer to help design and deliver scalable data solutions that power decision-making across the organization. In this role, you’ll take ownership of key…

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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