Junior Data Engineer

Semios Group is a leading agricultural technology company helping growers, agronomists, and ag retailers manage over 100 million acres across five countries. The role involves supporting the architecture and development of cloud-based systems, maintaining infrastructure for data processing, and contributing to scalable data processing solutions in a collaborative environment.

Responsibilities

• Support the architecture and development of cloud-based systems to manage and improve the interface between Semios data and its consumers
• Assist in developing and maintaining infrastructure to process and store data, integrate data-driven models, and automate manual processes
• Contribute to the implementation of scalable data processing and analytics solutions in a cloud environment
• Help build reliable, monitorable, and fault-tolerant data pipelines and data processes
• Develop data tools and utilities that help analytics and data science team members work more efficiently
• Work with senior team members to assemble and clean large data sets that meet business requirements
• Participate in performance tuning, query optimization, and refactoring under guidance from more experienced engineers
• Write and maintain clear documentation of processes and products

Skills

• Good foundational SQL skills and the ability to write clean, understandable queries
• Programming experience in Python, NodeJS, or another imperative language
• A willingness to learn, collaborate, and contribute in both autonomous and team settings
• Exposure to at least one Data Warehouse technology (e.g., BigQuery, Redshift, Snowflake, Oracle, On-Prem) through coursework, internships, or project experience
• Strong verbal and written communication skills, with the ability to break down technical concepts for different audiences
• Some familiarity with working with large data sets and an interest in developing deeper Big Data expertise
• Introductory experience or coursework related to cloud platforms (AWS, GCP, or similar)
• Interest in learning orchestration tools (e.g., like Prefect, Airflow, Dagster, Kubeflow, etc.) and version control (Git)
• Strong troubleshooting and problem-solving abilities, with a drive to learn how to identify and resolve issues effectively
• Experience with relational databases such as Postgres or MySQL
• Exposure to containerization technologies (Docker, Kubernetes)
• Interest or coursework in IoT Cloud and IoT data
• Familiarity with dbt and dlt
• Academic background or certifications related to Big Data, cloud computing, or data engineering

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
• Office location that is convenient via transit and bike paths
• Extended medical plan, Health Spending Account and Personal Spending Account, with premiums paid by the company
• Group RRSP, which includes a 3% company paid match after one year of employment

Company Overview