Enterprise Data Foundation & Automation Engineer II

Team Member – Niagara Bottling

At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality, most affordable bottled water.

• Work in an entrepreneurial and dynamic environment with a chance to make an impact.
• Develop lasting relationships with great people.
• Have the opportunity to build a satisfying career.

We offer competitive compensation and benefits packages for our Team Members.

The Enterprise Data Foundation & Intelligent Automation Engineer II is responsible for developing, maintaining, and optimizing analytical data models, data pipelines, and automation solutions. This role contributes to strengthening the organization’s data foundation, improving data maturity, and supporting data-driven decision‑making across the enterprise.

• Develop and maintain high‑quality data pipelines, models, and automation solutions in alignment with Analytics Modeling ELT principles.
• Implement data quality frameworks and data governance best practices to ensure reliable and trusted data assets.
• Solve data engineering challenges to enhance business intelligence and operational efficiency.
• Build reusable data products to support product managers, data scientists, and business teams in decision‑making processes.
• Collaborate with data engineers, machine learning engineers, and solution architects to support scalable and optimized enterprise data solutions.
• Contribute to AI‑first initiatives and Robotic Process Automation (RPA) to improve efficiency across the analytics data value chain.
• Partner with key stakeholders to support automation and optimization of business processes through Business Process Automation (BPA).
• Research and evaluate emerging data technologies and automation tools to improve data engineering efficiency.
• Promote a culture of continuous learning, innovation, and collaboration within the data engineering domain.
• This job description is not exhaustive and may be subject to change as business needs evolve.

• 2 years of experience in technology consulting, data analytics, or related fields.
• 2 years of experience supporting operations or strategy functions.
• * Experience may include a combination of work experience and education.

• 4 years of experience in technology consulting, data analytics, or related fields.
• 4 years of experience in operations or strategy functions.
• 2 years of experience managing projects.
• * Experience may include a combination of work experience and education.

• Proficiency in ELT, SQL, and at least one programming language (e.g., Python, R).
• Experience in developing and maintaining data warehouses and big data solutions (e.g., Snowflake, Hadoop, Spark, Big Query).
• Understanding of cloud computing services for data and analytics solutions.
• Experience working with relational, No
  
  SQL, and cloud‑based databases.
• Knowledge of data governance, dimensional modeling, and structured/unstructured data management.
• Exposure to machine learning, artificial intelligence, and statistical methodologies.
• Familiarity with agile methodologies and experience in cross‑functional teams.
• Strong problem‑solving skills with the ability to simplify technical concepts for broader organizational understanding.
• Passion for technology, innovation, and continuous learning.
• Ability to foster a culture of collaboration, transparency, and trust.

• Minimum
  
  Required:
  
  Bachelor’s Degree in Supply Chain, Information Technology, Business Analytics, Systems Engineering, Data Science or other related field.
• Preferred:
  Master’s Degree in Supply Chain, Information Technology, Business Analytics, Systems Engineering, Data Science or other related field.

• Required:
  
  N/A.
• Preferred: APICS CPIM, CSCP, PMP, PMI.

• Required:
  
  None.
• Preferred:
  None.

Pay Rate Type:
Salary $ - $ / Yearly

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