Senior Data Engineer, Data AI Analytics

McCain Foods; Florenceville-Bristol; On-site; CAD 69,700 - 93,000; Full time

Benefits offered by this job

Health coverage (medical, dental, vision, prescription drug)

Retirement savings benefits

Mental health resources

Job summary

McCain Foods in Florenceville-Bristol is seeking a Senior Data Engineer to enhance their data-driven decision-making capabilities. This role involves designing efficient data pipelines and collaborating with data scientists for optimal analytics support.

The ideal candidate should have substantial experience in programming, cloud platforms, and databases. They will enjoy a competitive salary range of CAD $69,700.00 – $93,000.00 annually, with various health benefits included.

Qualifications

• 5–7+ years of experience in data engineering or related roles.
• Strong knowledge of relational (SQL) and NoSQL databases.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.

Responsibilities

• Design, build, and maintain scalable and efficient data pipelines.
• Ensure data quality, integrity, and availability for analytics.
• Collaborate with data architects to optimize data models.

Skills

Python

Java

Scala

Apache Spark

Hadoop

SQL

MongoDB

Cassandra

AWS

Azure

Google Cloud

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or related field

Tools

ETL tools

Airflow

Docker

Kubernetes

Job description

Position Title: Senior Data Engineer, Data AI Analytics

Position Type: Regular - Full-Time

Grade: 04

Requisition ID: 42792

Company: McCain Foods (Canada)

Location(s): Florenceville-Bristol, New Brunswick, Canada

About The Role

McCain is on an ambitious digital transformation journey, investing in data platforms, analytics, and technology to drive business growth and enhance customer experience. As a Senior Data Engineer, you will play a critical role in building scalable data pipelines and infrastructure that power analytics and machine learning initiatives. This role partners closely with data scientists, analysts, and business stakeholders to enable data‑driven decision‑making across the organization.

What You’ll Be Doing

• Design, build, and maintain scalable and efficient data pipelines across multiple data sources
• Ensure data quality, integrity, and availability for analytics and business use cases
• Collaborate with data architects to develop and optimize data models and storage solutions
• Partner with data scientists and analysts to translate business requirements into technical solutions
• Monitor and optimize performance of data systems to support future growth
• Provide technical leadership and mentorship to junior data engineers
• Evaluate and recommend new tools and technologies to enhance data engineering capabilities
• Develop and maintain comprehensive documentation for data systems and processes

What You’ll Need To Be Successful

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or related field
• 5–7+ years of experience in data engineering or related roles
• Proficiency in programming languages such as Python, Java, or Scala
• Experience with data processing frameworks such as Apache Spark or Hadoop
• Strong knowledge of relational (SQL) and NoSQL databases (e.g., MongoDB, Cassandra)
• Hands‑on experience with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with ETL tools, data warehousing, and orchestration frameworks (e.g., Airflow)
• Strong analytical, problem‑solving, and communication skills

Preferred Qualifications

• Experience with Docker, Kubernetes, or containerization technologies
• Prior leadership or mentorship experience in data engineering projects
• Relevant cloud or data engineering certifications

Compensation Package

CAD $69,700.00 – $93,000.00 annually + Bonus Eligibility. The above reflects the target compensation range for the position at the time of posting. Hiring compensation will be determined based on experience, skill set, education and training, and other organizational needs.

Benefits

Health coverage (medical, dental, vision, prescription drug), retirement savings benefits, and leave support including medical, family and bereavement. Well‑being programs include vacation and holidays, company-supported volunteering time, and mental health resources. Coverages are aligned with country, provincial and state governing plans and can vary by work level, location and nature of the role. Additional benefit detail available during the application process.

Equal Opportunity Statement

McCain Foods is an equal‑opportunity employer. As a global family‑owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.

Accessibility Statement

McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know, and we will work with you to find appropriate solutions.

Privacy Statement

Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain’s Global Privacy Policy and Global Employee Privacy Policy, as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.

Job Family

Information Technology