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Added 1 hour ago
Q
Senior Conversational Bot Engineer
Quantiphi
Canada
- Full-time
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
Added 2 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Experience with Snowflake, AWS or Google Cloud Platform (GCP).
Added 2 days ago
TS
Data Engineer
The Semios Group
Remote, Canada
- $95,000 to $115,000 CAD / year
- Full-time
- Remote
Help architect and build cloud-based systems to manage and improve the interface between Semios data and its consumers.
Added 2 days ago
SG
Data Engineer
Semios Group
Vancouver, BC
- $95,000 to $115,000 CAD / year
- Full-time
Help architect and build cloud-based systems to manage and improve the interface between Semios data and its consumers
Added 2 days ago
NS
AWS Snowflake Solutions Architect
N2P Systems
Toronto, ON
- Full-time
N2P Systems is seeking an experienced AWS Snowflake Solutions Architect to join our enterprise technology delivery team in Toronto, Ontario, Canada. At N2P Systems, you will put 10+ years…
Added 4 days ago
E
Braze Architect
EXL
Canada
- Full-time
We are seeking a Braze Architect to serve as the technical and strategic authority on Braze and the surrounding customer data ecosystem. You will define target-state architectures that…
Added 4 days ago
B
Enterprise Architect
BRP
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for an Enterprise Architect (EA) who will report to the manager of Enterprise & Solution Architecture. As an EA-Cybersecurity, you will play a pivotal role in shaping,…
Added 5 days ago
AT
Senior DevSecOps Engineer
Aarorn Technologies Inc
Toronto, ON
- $50 CAD / hour
- Contract
The successful candidate will bring strong experience across AWS, Azure, infrastructure as code, Kubernetes, cloud security, identity and access management, vulnerability management,…
Added 5 days ago
E
Sr DevOps Engg - AWS
emergiTEL
Toronto, ON · Etobicoke, ON
- $150,000 to $170,000 CAD / year
- Full-time
AWS Solutions Architect – Professional (SAP-C02)
Added 6 days ago
S
Manager, Sales Enablement
SysAid
Toronto, ON
- Full-time
…in the Gartner Magic Quadrant for ITSM and was awarded the AWS Rising ISV Star Award for…
Added 6 days ago
ST
Sales Enablement Manager
SysAid Technologies
Toronto, ON
- Full-time
…in the Gartner Magic Quadrant for ITSM and was awarded the AWS Rising ISV Star Award for…
Added 6 days ago
S
Sales Enablement Manager
SysAid
Toronto, ON
- Full-time
…in the Gartner Magic Quadrant for ITSM and was awarded the AWS Rising ISV Star Award for…
Added 6 days ago
ES
Data Engineer – Snowflake, AI/ML
Enterprise Solutions Inc.
Markham, ON
- Contract
We are seeking an experienced Data Engineer with strong expertise in Snowflake, Snowflake AI/ML, Data Science, dbt Core, AWS Cloud, and modern data engineering practices. The ideal…
Added 6 days ago
AC
Principal Presales Solutions Architect
Adastra Corporation
Markham, ON
- Full-time
Deep hands-on experience with at least two of Azure, AWS, Databricks, and Snowflake, and working fluency with the others.
Added 7 days ago
I
Principal Data Architect, FSI
Infostrux
Toronto, ON
- Full-time
…data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier - a reflection of our deep expertise and…
Added 7 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Experience with Snowflake, AWS or Google Cloud Platform (GCP).
Added 9 days ago
KG
Senior Data AI Engineer (GenAI & LLM)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Experience with cloud data platforms and AI ecosystems (e.g., AWS, Azure, Databricks, Snowflake, or Google Vertex AI).
Added 9 days ago
D
Enterprise Architect
dentalcorp
Toronto, ON · Support Centre - Toronto Office
- Full-time
Provide architectural oversight for Okta, NetSuite, Workday, Snowflake, Tableau, and AWS alongside system owners, guiding cloud, API, event-driven, identity, infrastructure, and data…
Added 10 days ago
Q
Senior Conversational Bot Engineer
Quantiphi
Toronto, ON
- Full-time
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
Added 10 days ago
MA
Tech Lead - Snowflake & DBT
Mitra AI
Canada
- Contract
We are seeking a highly experienced, hands-on Lead / Principal Data Engineer with deep expertise in Snowflake, DBT, advanced SQL, and modern data engineering practices to support enterprise…
Added 10 days ago
L
Data Engineer
Luxoft
Canada
- Full-time
…Rails, Node.js/TypeScript and Python services, PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to strengthen our data foundation through good modeling, clean…
Added 10 days ago
RB
Senior Manager, Engineer & Build
Royal Bank of Canada
Toronto, ON
- Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 10 days ago
KC
Senior Manager, Data Platform(s) Architect, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Architect and develop overall end-to-end design of data and analytics solutions across Data Lakes, Data Warehouses, Data Lakehouses, pipelines on modern data platforms such as Microsoft…
Added 10 days ago
IS
Sr Data Modeler /Architect Role
Iris Software Inc.
Toronto, ON
- Contract
Iris's direct client, one of the leading Banking and Financial Company, is looking to hire a Sr Data Modeler /Architect Role for a long term opportunity at Toronto, ON (Hybrid Position).…
Added 11 days ago
S
Solutions Architect
Sigmoid
Toronto, ON
- Full-time
● Architect scalable lakehouse solutions leveraging Snowflake and/or Databricks ecosystems.

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.

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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