Semios is seeking a Data Engineer to design, build, and maintain scalable cloud-based data systems that transform raw data into trusted, analysis-ready datasets. You will collaborate with Engineering and Data Science teams to optimize data pipelines and integrate diverse data sources for AI-ready foundations powering agriculture products. Ideal candidates have 3–5 years in data engineering, strong SQL, and experience with data warehouses (BigQuery, Redshift, Snowflake) and Postgres, plus
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Cloud Data Engineer — AI-Ready Pipelines & Impact in Vancouver employer: Semios
At Semios Group, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Hybrid Agile Delivery Lead, you will enjoy the flexibility of a hybrid work environment while being part of a team that values transparency and continuous improvement. With ample opportunities for professional growth and development, you'll be positioned to make a meaningful impact in the agricultural technology sector right here in Canada.
