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Added 11 mins ago
AI
Adobe Site Reliability Engineer - Content Delivery Network
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Toronto, ON
- Full-time
Senior Site Reliability Engineer - AEM - Content Delivery Network
Added 11 mins ago
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Added 26 mins ago
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Ingenieur Mecanique - Mechanical Engineer
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- $46 to $77 CAD / hour
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Added 26 mins ago
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Ingenieur Mecanique - Mechanical Engineer
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Montreal, QC
- $46 to $77 CAD / hour
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Senior Machine Learning Systems Engineer
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- Full-time
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AI/ML Engineer
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Senior Full Stack Java Developer - Capital Markets
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…Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing delivery…
Added 26 mins ago
TS
Data Engineer
The Semios Group
Remote, Canada
- $95,000 to $115,000 CAD / year
- Full-time
- Remote
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 26 mins ago
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Consultant, Cloud Engineer - Azure
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- Full-time
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Added 26 mins ago
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Microelectronics Process Engineer
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Added 26 mins ago
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We are hiring a Toronto-based Senior Software Engineer to join our founding in-house engineering team and build products from the ground up. This is a hands-on, individual contributor role…
Added 26 mins ago
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Product Manager - SOTI MobiControl
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Added 26 mins ago
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Test Engineer
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Added 26 mins ago
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DevOps Team Lead
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Added 41 mins ago
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Project Manager
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Licensed to practice as a professional engineer or eligible to be licensed within six months
Added 41 mins ago
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Calibration Engineer - 12 month contract
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Ottawa, ON
- $70,000 to $90,000 CAD / year
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We are looking for a Calibration Engineer at RBR for a 12 month contract where you will help ensure the calibrations behind our instruments are rigorous, repeatable, and traceable. In this…
Added 41 mins ago
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Forward Deployed Engineer, Infrastructure Specialist (North America)
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Remote, Canada
- Full-time
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Added 41 mins ago
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Gameplay AI Engineer - Sledgehammer Games
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Added 56 mins ago
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Adobe Site Reliability Engineer (French)
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Toronto, ON
- Full-time
Job Title: Adobe Site Reliability Engineer (French)

Semios Group

Data Engineer

Vancouver, BC, Canada

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

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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.

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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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