Data Engineer

Who we areFounded 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.
Who we areFounded 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.
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 areAs 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
3-5 years of relevant professional experience in Data Engineering, preferably working with cloud-based data platforms and production data pipelines
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 aremade based on demonstrated mastery and experience and generally fall near the midpoint.
Benefits
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 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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