Jobs in Canada

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Added 11 days ago
T
Cyber Security Intern/Co-op (Winter 2027)
TD
Mississauga, ON · Toronto, ON
- Full-time
Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (4 days per week in office)
Added 11 days ago
MI
Quality Engineer
Marmon Industrial Water
Burlington, ON
- Full-time
As a Quality Engineer, you will act as the project Quality Lead for new projects and maintain responsibility for performing the project’s Quality documentation, and inspection activities.…
Added 11 days ago
NM
Reliability Engineering
Natus Medical Incorporated
Oakville, ON
- Full-time
We are seeking an experienced Reliability Engineer to lead product reliability activities and help ensure our neurology medical devices and applications consistently deliver their intended…
Added 11 days ago
SP
Manager, Product, Pricing & Integrations Operations
Salesforce Partner Canada
Toronto, ON
- Full-time
This is a hybrid role with three days in office each week
Added 11 days ago
SG
Data Engineer
Semios Group
Vancouver, BC
- $95,000 to $115,000 CAD / year
- Full-time
As a Data Engineer at Semios, you will design, build, and maintain scalable, reliable cloud-based data systems that transform raw data into trusted, analysis-ready datasets. You will work…
Added 11 days ago
HP
HPC & AI Software - Engineering Resolution Engineer
Hewlett Packard Enterprise
Mississauga, ON
- $118,500 to $168,500 CAD / year
- Full-time
Perform selected product pre-release testing.
Added 11 days ago
Electrical/Electronic Design Engineer
National Research Council Canada
Ottawa, ON
Individuals must have lived in Canada for a sufficient period of time to enable the security screening process
Added 11 days ago
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Sr. React Native Engineer | US/Canada
Pack.com
Remote, Canada
- Remote
You must have shipped and maintained native mobile builds on the App Store and Google Play
Added 11 days ago
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Software Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
We are looking for a Software Engineer to help modernize factory operations through software, connected systems, and reliable data. You will build and improve applications that support…
Added 11 days ago
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Senior Software Engineer (Hybrid / Montreal)
Motion
Montreal, QC
- Full-time
We're at the forefront of AI as the foundation of our product. Motion now automatically analyzes and organizes creative at scale and surfaces competitor trends. And with Runneth - the AI…
Added 11 days ago
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Machine Learning Engineer
Hays
Toronto, ON
- Contract
We’re looking for a hands-on Machine Learning Engineer to develop and improve ML and deep learning models that power personalization across our retail ecosystem.
Added 11 days ago
AR
Tooling Engineer Manager - Injection Mold - Automotive (35792)
Activ8 Recruitment & Solutions
Woodstock, ON
- $90,000 to $130,000 CAD / year
- Full-time
We are seeking an experienced Tooling Engineering Manager to lead the design, development, maintenance, and continuous improvement of injection molds and tooling systems. This position will…
Added 11 days ago
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Intern Bachelors Test Eng
Honeywell Aerospace
Ottawa, ON · Kanata, ON
- Full-time
The individual must have excellent interpersonal skills to work in a small team and global atmosphere · YOU MUST HAVE
Added 11 days ago
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Part-Time Supply Chain Operations & General Management Role
dewpoint
Toronto, ON
- Part-time
Strong operational and supply chain experience, preferably in an engineering, product development, or low-to-medium volume manufacturing environment.
Added 11 days ago
AI
Ping Identity / ForgeRock Engineer
Apptoza Inc.
Montreal, QC
- Full-time
Collaborate with development teams to improve system architecture and resilience
Added 11 days ago
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Junior Field Applications Engineer – Data Center & Enterprise Markets
IntelliPro Group Inc.
Canada
- Full-time
Contribute directly to customer success and product development.
Added 11 days ago
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CCaaS Developer
Accenture
Montreal, QC
- Full-time
…relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign,…
Added 11 days ago
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
This is a hybrid role, with a minimum of two days per week in our Toronto office location
Added 11 days ago
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Software Development Engineer in Test, Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Partner with software developers and product managers to define features and establish criteria for verifying correct implementation, fostering a quality-first attitude throughout the…
Added 11 days ago
RI
Plant Manager
Recochem Inc.
Nisku, AB
- Full-time
We engineer leading fluid solutions that keep the world moving and we’re building a better future while we do it. As a vertically integrated global powerhouse, we operate 17 manufacturing…
Added 11 days ago
S
Senior IC Digital Design Engineer
StarIC
Toronto, ON
- Full-time
Responsible for all aspects of digital blocks and ICs development to meet product requirements from the initial concept, architecture and specification through to the final verification
Added 11 days ago
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QA Test Engineer, Industrial
Litmus
Remote, Canada
- Full-time
- Remote
You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility,…
Added 11 days ago
UH
R&D Engineer
University Health Network
Mississauga, ON
- Full-time
The R&D Engineer is generally responsible for translating clinical needs from transplant surgeons into product ideas. They research new technologies, build proof-of-concept prototypes,…
Added 11 days ago
UC
Databricks Data Platform Engineer
Univedge Consulting LLC
Canada
- Contract
As a Senior Databricks Data Platform Engineer, you will own the engineering, automation, and day-to-day health of our enterprise Databricks Lakehouse platform. This is a platform-first…
Added 11 days ago
Plant Manager
PFX Group
Nisku, AB
We engineer leading fluid solutions that keep the world moving and we’re building a better future while we do it. As a vertically integrated global powerhouse, we operate 17 manufacturing…

Semios Group

Data Engineer

Vancouver, BC, Canada

$95,000 to $115,000 CAD / year · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $95,000 to $115,000 CAD / year
Job type: Full-time
Apply by: Apr 28, 2027
Posting language: English
Posted: Oct 30, 2026

Original job description

Who we are:

Founded in 2010, Semios Group is a leading agricultural technology company helping growers, agronomists, and ag retailers manage over 200 million acres across five countries. Semios pioneered variable-rate pheromone-based mating disruption in orchards and has since expanded into a comprehensive portfolio covering crop protection, water management, frost control, automation, and a leading farm management information system. The Semios Group includes trusted brands such as Semios, Agworld, Altrac, and Greenbook. We continue to drive the next generation of digital agriculture, supporting growers, agronomists and ag retailers in improving sustainability and profitability.

Our innovative work has been recognized with several industry awards, including:

AgTech Breakthrough - Smart Irrigation Company & Pest Management Solution of the Year
Thrive Top 50
Google for Startups Accelerator Cohort
Global Cleantech Top 100

We know our journey is only achievable by having a great team who shares ideas, tries new things, and learns as we go.

Who you are:

As a Data Engineer at Semios, you will design, build, and maintain scalable, reliable cloud-based data systems that transform raw data into trusted, analysis-ready datasets. You will work closely with our Engineering and Data Science teams to optimize data pipelines, integrate diverse data sources, and build AI-ready data foundations that power innovative products and data-driven insights for agriculture.

What you will do:

Help architect and build cloud-based systems to manage and improve the interface between Semios data and its consumers
Design, develop and maintain scalable infrastructure to process and store data, integrate data-driven models and automate manual processes
Build and maintain models that turn raw measurements into trusted, analysis-ready datasets in a multi-cloud environment
Design and build reliable, monitorable and fault-tolerant data systems and data processes
Create data tools for analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader
Model large, complex datasets that meet business and product requirements
Optimize pipeline performance and cost (partitioning, clustering, incremental models), and lead refactoring and migrations
Make our data AI-ready: well-modelled, documented and governed datasets that power LLM-based agents, analytics assistants and ML models
Build and maintain ingestion pipelines from third-party and partner APIs
Write clear documentation of data structures and Data APIs across products

Requirements

We want you to succeed, so you will need:

Advanced skills in SQL; how to write elegant queries that minimize data processing, scanning, and latency
Experience with at least one Data Warehouse (BigQuery, Redshift, Snowflake or an on-prem equivalent) and with Postgres or another relational database
Excellent verbal and written communication skills: a talent for distilling complex ideas for different audiences
In-depth experience building and operating production data pipelines at scale, with a track record of reliable collection, storage and access
Hands-on experience with provisioning and developing on cloud platforms, particularly GCP (BigQuery, Cloud SQL, Cloud Run) and AWS
Proven experience with workflow and scheduling tools like Prefect, Dagster or similar
The ability to thrive both autonomously and in a team environment
Excellent troubleshooting skills to rapidly identify and resolve issues
Experience with dbt (or a similar SQL-based transformation tool) in production
Experience integrating AI assistants into your development workflow, and a thoughtful view on where they speed things up and where they need close supervision
Fluency in Python, Node or other imperative language

Nice to have:

Real-world experience with containers (Docker) & container management systems (Kubernetes)
Experience with IoT data: ingesting and processing time-series sensor data from field devices in the cloud
Experience building LLM-based agents to aid development and deployment, and AI agents for customer-facing data analytics
Advanced education in Big Data, whether from academia, or certifications

Salary range: $95,000 to $115, 000 per year

We publish a salary range to provide transparency and represent the full growth potential of the role; as a result, offers are made based on demonstrated mastery and experience and generally fall near the midpoint.

Benefits

Why this is the opportunity for you:

Purposeful Work: Make a global impact by advancing sustainable food production
Our People: Work with a fun, collaborative, and supportive team
Recharge: Generous vacation policy, company-paid holidays and year-end winter break
Work Flexibility: Hybrid working arrangements and strong work-life balance culture
Prioritize Your Well-Being: Access comprehensive health plans designed to support your physical and mental health
Group RRSP, which includes a 3% company paid match after three months of employment
Office location that is convenient via transit and bike paths

At Semios Group, we value the full range of experience and perspectives people bring - not just what's listed in a job description. If your background is a close match, we encourage you to apply. If you need accommodations during the interview process, please let us know.

We welcome all applicants regardless of race, gender, orientation, sexual identity, economic class, ability, disability, age, religious beliefs or disbeliefs, or status. We believe that different perspectives and backgrounds are what make a company flourish.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, and operate scalable cloud-based data systems and pipelines that integrate diverse sources, transform raw measurements into trusted datasets, and support analytics, data science, and AI applications. Optimize and monitor data infrastructure, model complex datasets, integrate partner APIs, and document data structures and APIs.

Requirements

Candidates need strong SQL skills, production-scale data pipeline experience, and hands-on experience with data warehouses, relational databases, cloud platforms - particularly GCP and AWS - and workflow orchestration tools. The role also requires production experience with dbt or a similar transformation tool, fluency in Python, Node.js, or another imperative language, and effective communication and troubleshooting skills.

Skills

Advanced SQL
Data Warehousing
PostgreSQL
Cloud Platforms
Google Cloud Platform
Amazon Web Services
Production Data Pipelines
Workflow Orchestration
Prefect
Dagster
dbt
Python
Node.js
Data Modeling
API Integration
AI-Assisted Development

Benefits

Generous Vacation Policy
Company-Paid Holidays
Year-End Winter Break
Hybrid Working Arrangements
Work-Life Balance
Comprehensive Health Plans
Group RRSP
3% Company-Paid RRSP Match After Three Months

Visa sponsorship

Not detected in the job text

Keywords

SQL
BigQuery
Amazon Redshift
Snowflake
PostgreSQL
Google Cloud Platform
Cloud SQL
Cloud Run
Amazon Web Services
Prefect
Dagster
dbt
Python
Node.js
Docker
Kubernetes
Data Engineering
Data Warehousing
Data Pipelines
Data Modeling
ETL
API Integration
Multi-Cloud
IoT Data
Time-Series Sensor Data
Artificial Intelligence
Large Language Models
Machine Learning
Data Governance
Agricultural Technology

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Work requirements

Jobs in Canada