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Nature Fresh Farms

Data Engineer

Leamington, ON, Canada

$75,000 to $100,000 CAD / year · Full-time

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Job details

Pay: $75,000 to $100,000 CAD / year
Job type: Full-time
Apply by: Nov 5, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

🌱 Grow With Us – Join the Nature Fresh Farms Team!

Imagine breaking from tradition to ensure a brighter future for generations to come. At Nature Fresh Farms®, we’re committed to nourishing people and the planet through greenhouse farming.

Since 1999, our family-owned company has pursued a simple yet profound goal: to cultivate a kinder, healthier future. Today, we’re proud to be one of North America’s largest vertically integrated leaders in greenhouse-grown produce. While we are growers, we are also greenhouse builders, plant nurturers, and collaborative partners united by shared values and vision.

Our journey is far from over. As we look to the future, we remain committed to:

Innovation and conservation
Reducing waste and promoting biodiversity
Creating a more sustainable, inclusive, and friendlier world for all

🌟 We’re Hiring!

We are currently looking to fill a full-time, permanent position for a Data Engineer in our information Technology Department at our Leamington office.

What You'll Do:

Troubleshoot database and pipeline issues, independently performing data profiling and root cause analysis - including review of Source-to-Target Mapping documents and data dictionaries.
Design, develop, and implement data controls to ensure data integrity from source to target, including verifying upstream data meets defined quality standards.
Lead triage meetings and collaborate with Business and Technology stakeholders to determine and implement fixes for identified data issues.
Maintain and continue developing the organization's data library and related process documentation to ensure consistency, traceability, and end-to-end visibility across data assets.
Lead triage meetings globally and collaborate with required stakeholders to determine fixes for identified data issues.
Automate manual data processing tasks and build scalable, repeatable data solutions, collaborating with Technology development and testing teams to ensure data transformation logic is properly developed and tested across lower environments.
Collaborate with teams to integrate databases with applications and analytics platforms.
Leverage analytical tools to develop metrics that measure data quality across source systems.
Leverage AI tools such as Claude, ChatGPT, and Copilot to turn data into clear documentation and visuals - including AI-assisted data dictionaries, process write-ups, and dashboards that help stakeholders understand data quality and pipeline health at a glance.
Provide training to new and existing users on data processes, tools, and process changes.
Foster an environment that encourages productivity, innovation, process improvement, teamwork, and professionalism, while complying with all Health and Safety, Food Safety, Bio Security, and Nature Fresh Farms policies and procedures
Comply with all Health and Safety, Food Safety, Bio Security, and Nature Fresh Policies and Procedure
Complete all physical requirements of the job with or without a reasonable accommodation
This job description highlights the main components but is not inclusive of other activities that may be required

What You Bring:

Educational background in Computer Science, Information Systems, Engineering, or a related field preferred.
3–5+ years of hands-on experience as a Database Administrator, Data Engineer, or in a similar data-focused role, including direct support of data pipelines for large-scale applications.
Strong working knowledge of relational databases and SQL, primarily Microsoft SQL Server - including T-SQL, indexing, performance tuning, and backup/recovery - along with experience in ETL/ELT tools and pipeline technologies (e.g., SSIS, Azure Data Factory, or similar).
Experience performing data profiling and root cause analysis, working with Source-to-Target Mapping documents and data dictionaries, and developing data quality metrics using BI tools (e.g., Power BI) to monitor data quality across source systems.
Experience automating manual data processes and building scalable data solutions using scripting or query languages (e.g., Python, PowerShell, T-SQL), with version control experience using Git.
Experience leveraging AI tools such as Claude, ChatGPT, and Copilot to turn data into documentation and visuals - including AI-assisted data dictionaries, process documentation, and dashboards for Business Units.
Working knowledge of data governance, cataloging, and metadata management practices; familiarity with cloud object storage (e.g., Amazon S3) and cloud data platforms (e.g., Azure SQL, Azure Data Lake) considered an asset.
Demonstrated ability to lead triage and troubleshooting sessions with global, cross-functional stakeholders, and to communicate complex technical details clearly to both Business and Technology audiences.
Strong analytical, organizational, and documentation skills, with sharp attention to detail and problem-solving ability.
High degree of confidentiality and integrity, with a self-starter mindset, high energy, and strong motivation, along with comfort presenting recommendations to management.
Ability to lift and carry items minimum 20 lbs, depending on role requirements.
Valid passport and ability to travel within Canada and US
Valid driver’s license and personal vehicle required.

What To Expect:

Work is primarily performed in an office environment, with the occasional travel to other locations as needed.
Prolonged periods of sitting and computer use are required.
Requires regular communication and coordination with team members across departments.
Standard workdays are Monday-Friday, with rotational on-call require. Afterhours and weekends based on business needs.

💎 Who We're Looking For

We’re searching for passionate, purpose-driven individuals who are eager to make a difference - not just in their day-to-day work, but in the world around them. The right candidate is someone who shares our vision for a kinder, healthier future and lives out values that align with our own.

At Nature Fresh Farms, our GROWS Company Values guide everything we do - from how we collaborate as a team to how we grow as individuals and as a business:

🌱 Growing People – We cultivate greatness, every day

💚 Respect and Care – We care for our people and our communities

👥 One Team – We’re stronger as one

🎯 Win By Challenging – We reimagine what’s possible

🤝 Serve With Purpose – We make things happen

If you’re someone who believes in doing meaningful work, thrives in a collaborative environment, and is motivated by innovation and impact, you’ll feel right at home here.

🌿 Why Work With Us?

A forward-thinking, sustainability-driven company
Supportive, people-first workplace culture
Opportunities for growth, learning, and development
Competitive wages and benefits
A chance to be part of something bigger than yourself

📩 Ready to Grow With Us?

If you're inspired to make a real impact and grow your career in an innovative, purpose-driven environment, we’d love to hear from you!

Click the “Apply” button and submit your resume to take the next step in your career with Nature Fresh Farms.

Nature Fresh Farms is committed to providing an inclusive and barrier-free work environment, beginning with the hiring process. We are an Equal Opportunity Employer and welcome applications from candidates, in accordance with all relevant legislation. Nature Fresh Farms provides an accessible environment in which all individuals have access in a way that respects the dignity and independence of people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

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More about this job

Responsibilities

Troubleshoot databases and data pipelines, perform profiling and root cause analysis, and develop controls and metrics to maintain data quality and integrity. Automate and scale data processes, maintain data documentation, coordinate cross-functional issue resolution, and train users on data processes and tools.

Requirements

The role calls for 3–5+ years of experience in database administration, data engineering, or a similar data-focused role, with strong SQL Server, pipeline, data quality, and automation experience. A related educational background is preferred, along with strong communication and documentation skills; a valid passport, driver’s license, and personal vehicle are also required.

Skills

SQL
Microsoft SQL Server
T-SQL
Database Administration
Data Engineering
ETL/ELT
SSIS
Azure Data Factory
Data Profiling
Root Cause Analysis
Data Quality
Power BI
Python
PowerShell
Git
Data Governance

Benefits

Competitive Wages
Benefits
Growth Opportunities
Learning And Development

Visa sponsorship

Not detected in the job text

Keywords

Microsoft SQL Server
T-SQL
Indexing
Performance Tuning
Backup And Recovery
ETL/ELT
SSIS
Azure Data Factory
Data Pipelines
Source-To-Target Mapping
Data Dictionaries
Data Profiling
Root Cause Analysis
Data Quality Metrics
Power BI
Python
PowerShell
Git
Data Governance
Data Cataloging
Metadata Management
Amazon S3
Azure SQL
Azure Data Lake
Claude
ChatGPT
Copilot
Data Transformation
Database Integration
Food Safety

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