Senior Data Engineer, Data AI Analytics

Posted 11 Hours Ago
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Florenceville-Bristol, NB, CAN
In-Office
70K-93K Annually
Senior level
Food • Retail • Agriculture • Manufacturing
At McCain Foods we know the importance that food plays in people's lives.
The Role
Design, build, and maintain scalable data pipelines and infrastructure to support analytics and machine learning. Ensure data quality, optimize performance, collaborate with data scientists and stakeholders, mentor junior engineers, and evaluate new data tools.
Summary Generated by Built In
Position Title: Senior Data Engineer, Data AI Analytics
Position Type: Regular - Full-Time
Grade: Grade 04
Requisition ID: 42792
In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy.
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

About the team.
You will be part of the Data, AI and Analytics function within McCain's Digital Technology team, working in a highly collaborative environment alongside data engineers, data scientists, and business stakeholders. This team is focused on building enterprise data capabilities that support global transformation initiatives and enable data-driven innovation across the organization.
About McCain.
Click Here to learn more about McCain and how we provide opportunities to make an impact that matters.
Leadership principles.
  • Understanding customer needs
  • Driving innovation
  • Empowering people
  • Taking ownership to deliver results

The McCain experience.
At McCain, we foster a collaborative and inclusive environment where employees are empowered to grow and innovate. Our teams work together across functions and geographies to deliver meaningful impact, supported by modern tools and flexible ways of working. We are committed to creating a workplace where you can develop your career, contribute to transformation, and help shape the future of food through data and technology.
#LI-MG1 #LI-Hybrid
Compensation Package : $69,700.00 - $93,000.00 . CAD 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. This posting is for an existing vacancy.
Benefits: At McCain, we're on a mission to create a winning culture that puts employee safety and well-being at the heart of what we do, every day. We understand and appreciate that each person's needs are unique and ensure our benefits & well-being programs reflect that. Employees are eligible for the following 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.
Your well-being matters to us, and we're here to provide you with the necessary resources to support you in being your best self at work - and at home.
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.
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.
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
Location(s): CA - Canada : New Brunswick : Florenceville-Bristol
Company: McCain Foods (Canada)

Skills Required

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

What the Team is Saying

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McCain Foods

McCain Foods Compensation & Benefits Highlights

  • Healthcare Strength Comprehensive medical, dental, vision, and mental‑health resources plus a confidential EAP are part of the package and emphasized alongside safety and wellbeing. These offerings are positioned to support employees’ health, with exact options varying by region.
  • Retirement Support A 401(k) plan with company match, along with disability and life insurance, form a solid financial security pillar. Performance bonuses may complement these for eligible roles.
  • Parental & Family Support Generous parental leave, adoption and fertility assistance, optional domestic partner medical coverage, and onsite Mother’s Rooms are available in many locations. These supports address a broad set of family needs beyond standard healthcare.

McCain Foods Insights

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The Company
HQ: Florenceville-Bristol, NB
20,000 Employees
Year Founded: 1957

What We Do

The power it has to uplift and bring people, Guided by our purpose - Celebrating real connections through delicious, planet-friendly food - we believe that working together with our teams, business and community partners will bring sustainable growth and positive change - today, tomorrow and for generations to come. As a privately owned family company with over 60 years of experience, a presence in over 160 countries and a global team of 22,000 people, our values and culture are at the heart of everything we do. Our product quality, people and customer dedication help us achieve global sales in excess of CDN $10 billion. Through our investment and innovation, we continue to be a global leader in prepared potato products, including our famous French Fries and appetizers. We are passionate about supporting and developing our people-providing opportunities to grow and learn in their roles, as well as building careers for the long term.

Why Work With Us

We are working to bring digital tools and data into our processes to drive efficiency, automation and data-driven insights. From connecting our business, enabling our supply chain, supporting our customers, to reinventing agriculture. So if you are a tech expert looking to join a company transforming technology, think of McCain.

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McCain Foods Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
Company Office Image
HQFlorenceville
Company Office Image
HQOakbrook Terrace, IL
Company Office Image
HQToronto, ON
McCain Foods Australia & New Zealand
Potato Processing Technology Centre
McCain Foods South Africa
McCain Foods GB Limited
Taman Tasik Indah, Kuala Lumpur
Learn more

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