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Added 5 days ago
C
Full Stack Developer
CGI
Vancouver, BC
- Full-time
This role is well suited to a developer who has a strong technical foundation, is enthusiastic about learning new technologies, and can work effectively within an Agile multidisciplinary…
Added 5 days ago
BP
Artificial Intelligence & Model Risk Auditor
BNP Paribas
Montreal, QC
- Full-time
At least three years of professional experience in applied data science, machine learning engineering, or AI research, specifically involving LLMs and traditional machine learning models.
Added 5 days ago
A
Scientifique De Données
Actalent
Longueuil, QC
- $43 to $66 CAD / hour
- Contract
The PMO is seeking a Power BI & Data Science Analyst who can turn program data into actionable decisions. The position is approximately 50% complex dashboard and BI engineering and 50% data…
Added 5 days ago
A
Python Test Software Developer
Actalent
Sainte-Anne-de-Bellevue, QC
- $50 to $80 CAD / hour
- Contract
The Python Test Developer designs, develops, tests, integrates, and deploys software applications using general-purpose languages and technologies to support the testing of various…
Added 5 days ago
A
Data Scientist
Actalent
Longueuil, QC
- $43 to $66 CAD / hour
- Contract
The PMO is seeking a Power BI & Data Science Analyst who can turn program data into actionable decisions. The position is approximately 50% complex dashboard and BI engineering and 50% data…
Added 5 days ago
AI
Senior Machine Learning Systems Engineer
Aptino, Inc.
Canada
- Contract
The ideal candidate will have strong hands-on experience in Python, PyTorch, LLM inference frameworks, and accelerator performance optimization. This role focuses on improving inference…
Added 5 days ago
D
GenAI & Python Specialist - Operate (Future Opportunity)
Deloitte
Toronto, ON
- Full-time
Strong proficiency in Python engineering for data processing, model integration, APIs, and microservices
Added 5 days ago
RI
Senior Full Stack Java Developer - Capital Markets
Rose International
Mississauga, ON
- Full-time
…speed, and quality, and serve as the technical face of the engineering organization with customers. Java and Python should be applied according to the needs of each use case, including…
Added 5 days ago
T
Data Analytics Associate, CIB Business Management
TD
Toronto, ON
- Full-time
Hands-on experience with Databricks and related data platforms, supported by strong SQL and Python skills for data engineering, modeling, and scalable analytics.
Added 5 days 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 5 days ago
B
Consultant, Cloud Engineer - Azure
BDO
Toronto, ON
- Full-time
BDO Digital is looking for a Consultant, Cloud Engineer to join our growing Cloud and Platform Engineering team. You will work alongside experienced engineers, architects and client teams…
Added 5 days ago
PC
Specialist, BI Developer
Parkland Corporation
Calgary, AB
- Full-time
Join the Enterprise Business Intelligence team as a BI Developer focused primarily on data engineering within our Azure Databricks platform. This role designs, builds, tests, and supports…
Added 5 days ago
E
Specialist II TIS Application Observability
Enbridge
Calgary, AB · Edmonton, AB · Toronto, ON
- Full-time
Related university degree or two-year technical diploma in Computer Science, Information Technology, Engineering, or a related discipline. Without a degree, 3 additional years of related…
Added 5 days ago
LB
Senior Software Engineer, Agentic AI Products
Leo Berwick
Toronto, ON
- Full-time
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 5 days ago
ZC
Senior Full Stack Developer (Angular & Java)
Ztek Consulting
Montreal, QC
- Full-time
You will be a technically proficient and enthusiastic developer, with a desire to work on back-end application development.
Added 5 days ago
PF
Data Engineer
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Designing and developing, high-performance, scalable data pipelines using Databricks, Spark, Python/PySpark and SQL
Added 5 days ago
FS
Business Analyst, Pension
Financial Services Regulatory Authority of Ontario (FSRA)
Toronto, ON
- Full-time
…best practices, business processes, technology strategies and data base systems to support the regulation of pension plans in…
Added 5 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 5 days ago
HP
HPC & AI Software - Engineering Resolution Engineer
Hewlett Packard Enterprise
Mississauga, ON
- $118,500 to $168,500 CAD / year
- Full-time
HPC & AI Software - Engineering Resolution EngineerThis position is newly created and currently vacant. All interested candidates are encouraged to apply.This role has been designed as…
Added 5 days ago
AW
Senior DevSecOps Engineer
Aviso Wealth
Remote, Canada
- $120,000 to $135,000 CAD / year
- Full-time
- Remote
Champion continuous improvement initiatives, identifying opportunities to reduce friction, improve predictability, and enhance developer experience across the software delivery lifecycle
Added 5 days ago
E
Software Engineer
Ecolab
Calgary, AB · CAN-Calgary Office Quarry Park
- Full-time
Working closely with the Software Engineering Manager and business teams, you will take ownership of assigned systems from requirements gathering through design, development, testing,…
Added 5 days ago
H
Production Support Specialist
Hays
Toronto, ON
- Contract
The successful candidate will work closely with engineering and development teams to handle problem management activities, including designing, building, and maintaining systems while…
Added 5 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
The position requires close collaboration with data, product, and engineering teams while documenting results, findings, and trade-offs clearly.
Added 5 days ago
H
Cloud Architect
Hays
Toronto, ON
- Contract
…Generative AI, RAG, Agentic AI, Azure AI Search, and enterprise data…
Added 5 days ago
Geological Technician
Canadian Natural
Calgary, AB
…development opportunities, maintain reliable geological and well data, and deliver maps, reports and technical products that support day-to-day and longer-range…

Semios Group

Data Engineer

Vancouver, BC, Canada

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

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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 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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