IT Data Engineer

Company Overview

Why Choose Us?

Novolex is a leading manufacturer of food, beverage, and specialty packaging that supports multiple industries including foodservice, restaurant delivery and carryout, food processing, grocery and retail, and industrial sectors. Novolex manufacturing and sourcing expertise spans a diverse range of substrates including resin, paper, molded fiber, aluminum and more. We provide customers a broad array of stock and customized solutions with 120 product categories, 250 brands and over 39,000 SKUs.

Our Sustainability Commitment

The Novolex sustainability vision is built upon three pillars: our products, our operations and our people. Each is critically important to our growth and future as a business. These pillars form the foundation of our company-wide commitment to sustainability, helping us achieve our ambitious goals through our wide-ranging initiatives.

Job Description

The Opportunity

We are seeking a highly motivated Data Engineer to join our Data & Analytics (D&A) organization. This role is ideal for a self-driven person who combines strong technical skills and analytical mindset with polished communication and collaboration skills.

 

As a member of the Data and Analytics team, you will build innovative and scalable data products, and support analytics and reporting initiatives across the organization, including data needs in the Finance, Manufacturing, Supply Chain, and Commercial areas.

 

The ideal candidate will have hands-on expertise in cloud data platforms like Azure/Microsoft Fabric or Databricks, strong experience with PySpark notebooks, data modeling skills, experience collaborating with business and technical teams, and have a focus on creating scalable, efficient, and actionable data products.

 

Key Responsibilities

• Data Modeling & Data Product Design:
  • Translate business requirements into robust conceptual data models and data product designs to support easy and efficient analytics experience at all levels of the organization.
  • Create corresponding physical data models, data flow design, and technical specifications to enable building and implementation of the data product.
• Data Product Development and Support:
  • Bring data from disparate systems and applications into a central data lake/warehouse.
  • Collaborate with data analysts, data scientists, and engineering teams to deliver accessible, well-structured datasets.
  • Build scalable data models and storage layers using Azure Data Lake, Delta Lake, Synapse, Fabric Lakehouse, or related services.
  • Develop, optimize, and maintain PySpark notebooks for data processing, transformation, and analytics.
  • Design and manage ETL/ELT pipelines within Azure or Microsoft Fabric environments.
  • Create and maintain workflows using tools such as Azure Data Factory, Dataflow Gen2, Pipeline activities, or Fabric Data pipelines.
  • Set up orchestration of workflows using a mix of data platform options and an enterprise scheduler for cross-system dependencies.
  • Ensure high data quality, reliability, and performance across all data systems.
• Maintain and Support Data Products:
  • Document support documentation including standard operating procedures.
  • Monitor pipeline performance, troubleshoot failures, and optimize compute usage for cost efficiency.
  • Maintain data products and related analytics to meet analytics use case.
• Business Insights and Dashboards:
  • Design and create data visualizations and features that can power end-user analytics for actionable insights.
  • Engage in analysis of data to identify data insights that can aid business improvements.
• Governance & Quality
  • Document data sources, data definitions, and data lineage to ensure transparency and data governance.
  • Incorporate data quality processes into all data loads, and ensure alignment with enterprise governance standards.
  • Contribute to documentation, business glossaries, and data lineage tracking in the Alation data catalog.
• Continuous Improvement
  • Recommend and implement process enhancements that drive efficiency and data maturity.
  • Stay abreast of emerging tools and best practices in analytics and data management.

 

What We Need From You:

Required Qualifications

• Bachelor’s degree in Computer Science/MIS, Mathematics/Statistics, related disciplines, or equivalent technical work experience.
• 3+ years work experience designing, developing, and