Data Engineer

Wellfish Tech; Charlottetown; On-site; CAD 60,000 - 80,000; Full time

Job summary

A global technology company in Charlottetown is seeking a Data Engineer to design and optimize data infrastructure for fish health monitoring platforms. Ideal candidates will have strong expertise in Microsoft technologies, including Microsoft Fabric and Azure Data Factory, and experience in data cleaning and visualization. The role offers competitive compensation, health benefits, and opportunities for professional growth in the aquaculture science field.

Benefits

Competitive compensation

Health benefits

RRSP contributions

Performance bonuses

Opportunities for international collaboration

Qualifications

• Strong proficiency with Microsoft technologies, especially Microsoft Fabric.
• Solid experience in SQL, Python, and modern ETL/ELT frameworks.
• Ability to design and implement front-end dashboards for stakeholders.

Responsibilities

• Build and maintain scalable data pipelines using Microsoft Fabric, Azure Data Factory, and Synapse.
• Perform advanced data cleaning, wrangling, and transformation for datasets.
• Collaborate with scientists to structure data for modeling and interpretation.

Skills

Microsoft Fabric

Azure Data Factory

Synapse

Power BI

SQL

Python

Data modeling

Data cleaning

ETL/ELT frameworks

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Bioinformatics, or related field

Job description

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.

Role Overview

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.

Key Responsibilities

• 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

Essential

• 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

Desirable

• 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

Why Join Us?

• 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