Data Engineer

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

• 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

• 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…