Computer jobs in Canada

Job Title: Data Engineer
Location: Charlottetown, PE, Canada (preferred)
Reports to: CTSO
Working Hours: Full-time (40 hours/week)
Start Date: January, 2026
Salary: Competitive, commensurate with experience

About WellFish Tech
WellFish Tech is a global leader in fish health monitoring, combining laboratory precision with advanced data analytics to support fish farmers and researchers across Canada, Scotland, and Norway. Our mission is to deliver actionable insights that improve fish survival, performance, and welfare.

We’re seeking a Data Engineer with deep expertise in Microsoft technologies—especially Microsoft Fabric—to design, build, and optimize the data infrastructure that powers our fish health monitoring platforms. You’ll be hands-on with data cleaning, wrangling, and front-end implementations, ensuring that biological, biochemical, and clinical datasets flow seamlessly from lab instruments into dashboards and decision-making tools.

This role is ideal for someone who thrives at the intersection of data engineering, Microsoft ecosystems, and applied aquaculture science.

• Build and maintain scalable data pipelines using Microsoft Fabric, Azure Data Factory, and Synapse
• Perform advanced data cleaning, wrangling, and transformation to prepare fish health monitoring datasets for analysis
• Collaborate with scientists and analysts to structure data for predictive modeling and clinical interpretation
• Integrate diverse data streams (blood chemistry, pathogen surveillance, performance metrics) into unified datasets
• Develop and support front-end implementations in Power BI and other visualization tools for real-time dashboards
• Ensure data integrity, traceability, and compliance with international regulatory standards
• Optimize performance of databases and Fabric-based data lakes
• Document workflows and provide technical support to cross-functional teams

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Bioinformatics, or related field
• Strong proficiency with Microsoft Fabric, Azure Data Factory, Synapse, and Power BI
• Solid experience in SQL, Python, and modern ETL/ELT frameworks
• Expertise in data modeling, wrangling, and cleaning large datasets
• Ability to design and implement front-end dashboards and reports for diverse stakeholders
• Strong collaboration skills across scientific and technical teams
• High attention to detail and commitment to data quality

• Familiarity with aquaculture, biochemistry, or clinical monitoring
• Experience with data governance and compliance frameworks
• Knowledge of machine learning workflows and statistical modeling
• Comfortable working in a fast-paced, multi-site environment

• Be part of a mission-driven team shaping the future of aquatic health
• Work at the cutting edge of Microsoft Fabric-powered data engineering
• Competitive compensation, health benefits, RRSP contributions, and performance bonuses
• Opportunities for international collaboration and professional growth