Who we are: Founded in 2010, Semios Group is a leading agricultural technology company helping growers, agronomists, and ag retailers manage over 100 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:<ul><li>AgTech Breakthrough – Smart Irrigation Company &amp; Pest Management Solution of the Year</li><li>Thrive Top 50</li><li>Google for Startups Accelerator Cohort</li><li>Global Cleantech Top 100</li></ul>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:Motivated by meaningful work, you are looking for more than just a job; you want to work for a dynamic, growing company that finds solutions to real-life problems, such as helping the world reduce the use of pesticides and helping nature feed a growing population. Your ideal work environment includes a collaborative team spirit with the opportunity to learn and grow as you take the initiative to try new things.What you will do:<ul><li>Support the architecture and development of cloud-based systems to manage and improve the interface between Semios data and its consumers.</li><li>Assist in developing and maintaining infrastructure to process and store data, integrate data-driven models, and automate manual processes.</li><li>Contribute to the implementation of scalable data processing and analytics solutions in a cloud environment.</li><li>Help build reliable, monitorable, and fault-tolerant data pipelines and data processes.</li><li>Develop data tools and utilities that help analytics and data science team members work more efficiently.</li><li>Work with senior team members to assemble and clean large data sets that meet business requirements.</li><li>Participate in performance tuning, query optimization, and refactoring under guidance from more experienced engineers.</li><li>Write and maintain clear documentation of processes and products.</li></ul><h3></h3>RequirementsWe want you to succeed so you will need: <ul><li>Good foundational SQL skills and the ability to write clean, understandable queries</li><li>Programming experience in Python, NodeJS, or another imperative language</li><li>A willingness to learn, collaborate, and contribute in both autonomous and team settings</li><li>Exposure to at least one Data Warehouse technology (e.g., BigQuery, Redshift, Snowflake, Oracle, On-Prem) through coursework, internships, or project experience</li><li>Strong verbal and written communication skills, with the ability to break down technical concepts for different audiences</li><li>Some familiarity with working with large data sets and an interest in developing deeper Big Data expertise</li><li>Introductory experience or coursework related to cloud platforms (AWS, GCP, or similar)</li><li>Interest in learning orchestration tools (e.g., like Prefect, Airflow, Dagster,  Kubeflow, etc.) and version control (Git)</li><li>Strong troubleshooting and problem-solving abilities, with a drive to learn how to identify and resolve issues effectively</li></ul>Nice to have:<ul><li>Experience with relational databases such as Postgres or MySQL</li><li>Exposure to containerization technologies (Docker, Kubernetes)</li><li>Interest or coursework in IoT Cloud and IoT data</li><li>Familiarity with dbt and dlt</li><li>Academic background or certifications related to Big Data, cloud computing, or data engineering</li></ul>Salary range: $73,000 to $95,000 per yearWe publish a salary range to provide transparency and represent the full growth potential of the role; as a result, job offers are made based on demonstrated mastery and experience, and generally fall near the midpoint.BenefitsWhy this is the opportunity for you:<ul><li>Purposeful Work: Make a global impact by advancing sustainable food production.</li><li>Our People: Work with a fun, collaborative, and supportive team.</li><li>Recharge: Generous vacation policy, company-paid holidays and year-end winter break.</li><li>Work Flexibility: Hybrid working arrangements and strong work-life balance culture.</li><li>Office location that is convenient via transit and bike paths</li><li>Extended medical plan, Health Spending Account and Personal Spending Account, with premiums paid by the company</li><li>Group RRSP, which includes a 3% company paid match after one year of employment</li></ul>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. We believe diversity drives innovation and meaningful work, and we welcome applicants from all backgrounds. If you need accommodations during the interview process, please let us know.

Semios is a scalable, data analytics platform for growers and ag professionals that helps predict, identify, and prevent pest and disease pressure. The Semios analytics engine draws on multiple sources of data and information including a robust, wireless network of in-canopy sensors on every customer farm measuring climate, soil and insect pest activity. Leveraging a network of 2 million sensors, providing updates every 10 minutes, we apply big data analytics and machine learning to reduce and mitigate crop risks for growers. Semios improves sustainability by promoting reduced dependency on pesticides and crop management inputs while helping to increase the value of harvests through reduced loss and increased quality.

Junior Data Engineer

Who we are: Founded in 2010, Semios Group is a leading agricultural technology company helping growers, agronomists, and ag retailers manage over 100 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:<ul><li>AgTech Breakthrough – Smart Irrigation Company &amp; Pest Management Solution of the Year</li><li>Thrive Top 50</li><li>Google for Startups Accelerator Cohort</li><li>Global Cleantech Top 100</li></ul>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:Motivated by meaningful work, you are looking for more than just a job; you want to work for a dynamic, growing company that finds solutions to real-life problems, such as helping the world reduce the use of pesticides and helping nature feed a growing population. Your ideal work environment includes a collaborative team spirit with the opportunity to learn and grow as you take the initiative to try new things.What you will do:<ul><li>Support the architecture and development of cloud-based systems to manage and improve the interface between Semios data and its consumers.</li><li>Assist in developing and maintaining infrastructure to process and store data, integrate data-driven models, and automate manual processes.</li><li>Contribute to the implementation of scalable data processing and analytics solutions in a cloud environment.</li><li>Help build reliable, monitorable, and fault-tolerant data pipelines and data processes.</li><li>Develop data tools and utilities that help analytics and data science team members work more efficiently.</li><li>Work with senior team members to assemble and clean large data sets that meet business requirements.</li><li>Participate in performance tuning, query optimization, and refactoring under guidance from more experienced engineers.</li><li>Write and maintain clear documentation of processes and products.</li></ul><h3></h3>RequirementsWe want you to succeed so you will need: <ul><li>Good foundational SQL skills and the ability to write clean, understandable queries</li><li>Programming experience in Python, NodeJS, or another imperative language</li><li>A willingness to learn, collaborate, and contribute in both autonomous and team settings</li><li>Exposure to at least one Data Warehouse technology (e.g., BigQuery, Redshift, Snowflake, Oracle, On-Prem) through coursework, internships, or project experience</li><li>Strong verbal and written communication skills, with the ability to break down technical concepts for different audiences</li><li>Some familiarity with working with large data sets and an interest in developing deeper Big Data expertise</li><li>Introductory experience or coursework related to cloud platforms (AWS, GCP, or similar)</li><li>Interest in learning orchestration tools (e.g., like Prefect, Airflow, Dagster,&nbsp; Kubeflow, etc.) and version control (Git)</li><li>Strong troubleshooting and problem-solving abilities, with a drive to learn how to identify and resolve issues effectively</li></ul>Nice to have:<ul><li>Experience with relational databases such as Postgres or MySQL</li><li>Exposure to containerization technologies (Docker, Kubernetes)</li><li>Interest or coursework in IoT Cloud and IoT data</li><li>Familiarity with dbt and dlt</li><li>Academic background or certifications related to Big Data, cloud computing, or data engineering</li></ul>Salary range: $73,000 to $95,000 per yearWe publish a salary range to provide transparency and represent the full growth potential of the role; as a result, job offers are made based on demonstrated mastery and experience, and generally fall near the midpoint.BenefitsWhy this is the opportunity for you:<ul><li>Purposeful Work: Make a global impact by advancing sustainable food production.</li><li>Our People: Work with a fun, collaborative, and supportive team.</li><li>Recharge: Generous vacation policy, company-paid holidays and year-end winter break.</li><li>Work Flexibility: Hybrid working arrangements and strong work-life balance culture.</li><li>Office location that is convenient via transit and bike paths</li><li>Extended medical plan, Health Spending Account and Personal Spending Account, with premiums paid by the company</li><li>Group RRSP, which includes a 3% company paid match after one year of employment</li></ul>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. We believe diversity drives innovation and meaningful work, and we welcome applicants from all backgrounds. If you need accommodations during the interview process, please let us know.

Junior Data Engineer

About the Job

About the Company

Semios

Similar Jobs

Data Scientist (m/f/x)

Data Scientist (m/f/x)

Data Engineer

Data Engineer

Senior Data Engineer (f/m/d)

Senior Data Engineer (f/m/d)

Azure Data Engineer

Azure Data Engineer

Analytics Engineer

Analytics Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer

Senior Data Engineer

Staff Data Engineer

Staff Data Engineer