Cooke is a global seafood company with operations in North America, Europe, South America and Australia. Our company’s success is driven by our dynamic, highly skilled, and innovative management team, supported by dedicated employees who live in coastal communities and contribute to the local area’s economy and sense of community. Cooke is continuing to mature its digital strategy through contemporary data platforms, integrated data pipelines, and enterprise data standards that support operations, processing, distribution, and corporate functions. As a Senior Data Engineer, you will design scalable data pipelines, integrations, APIs, and models that support enterprise analytics, operational reporting, and data platform maturity while mentoring others and helping align solutions to Cooke’s data architecture, security, governance, and quality standards. The Role As a Senior Data Engineer, you will design, build, and optimize reliable data pipelines, integrations, APIs, and data models across Cooke’s modern data ecosystem. You will work with limited direction to translate complex business and technical requirements into secure, scalable, well-documented solutions, while partnering with architects, analysts, engineers, application teams, and data stakeholders to improve data quality, performance, automation, lineage, and reuse across domains. Key Responsibilities Design scalable APIs, data pipelines, integrations, and transformations aligned to Cooke’s data architecture, security, and enterprise standards. Develop optimized logical and physical data models that support analytics, reporting, integration, and reuse across business domains. Design automated cleansing, validation, profiling, orchestration,



and data quality monitoring processes within data workflows. Analyze trends, data quality metrics, performance issues, and pipeline reliability to recommend and implement sustainable improvements. Collaborate with architects, data owners, analysts, application teams, and engineers to integrate multiple tools and systems for end-to-end data movement. Maintain high-quality technical documentation, metadata, lineage, technical specifications, and reusable patterns to support ongoing operations and knowledge sharing. What Success Looks Like Scalable and reusable data pipelines, APIs, and integrations are designed and delivered with strong reliability, security, and performance. Data models, data flows, and lineage are well understood, documented, and aligned to enterprise data architecture standards. Automated cleansing, profiling, orchestration, and quality monitoring improve data trust, issue resolution, and operational efficiency. Complex data quality, performance, and integration challenges are analyzed, resolved, and translated into sustainable improvements. Cross-functional stakeholders have confidence in the accuracy, usability, documentation, and supportability of delivered data solutions. Core Skills & Competencies Proficient in designing scalable data pipelines, APIs, integrations, orchestration workflows, and automated transformations using tools such as Snowflake, DBT,FiveTran, Boomi, Azure Data Factory, SQL, Python, and related technologies. Strong ability to design logical and physical data models, map dataflowsand lineage, and align solutions to enterprise data architecture and integration standards. Advanced working knowledge of data cleansing, profiling, validation, metadata management, data quality monitoring, data security, governance workflows, and secure data

📌 Senior Data Engineer (Saint John)
🏢 Cooke Aquaculture
📍 Saint John