Greif is a global leader in performance packaging located in 40 countries. The company delivers trusted, innovative, and tailored solutions that support some of the world's most in demand and fastest-growing industries.
With a commitment to legendary customer service, operational excellence, and global sustainability, Greif packages life's essentials - and creates lasting value for its colleagues, customers, and other stakeholders.
Learn more about the company's Customized Polymer, Sustainable Fiber, Durable Metal, and Integrated Solutions at www.greif.com and follow Greif on Instagram and LinkedIn.
OUR VISION:
Being the customer service company in the world.
OUR PURPOSE:
Creating packaging solutions for life’s essentials.
Job Requisition #:
034390 Data Engineer (Open)Job Description:
Key Responsibilities
- Analyze, profile, and organize large volumes of structured and semi-structured data
- Design, develop, test, and maintain robust ETL/ELT pipelines using Azure Data Factory and Python
- Build and optimize data warehouse, data lake, and data platform solutions (e.g., Snowflake or similar platforms)
- Integrate and harmonize data from multiple internal and external sources
- Support data acquisition and ingestion strategies aligned with business and AI use-case needs
- Collaborate with AI Lab teams to prepare, curate, and optimize data sets for AI/ML as well as GenAI PoCs and pilot solutions
- Enable scalable and reusable data assets that support experimentation, feature development, and model training
- Evaluate business requirements and translate them into scalable data engineering and platform solutions
- Prepare data for descriptive, predictive, and prescriptive analytics
- Develop reusable data engineering frameworks, utilities, and analytical tools
- Collaborate closely with data scientists, data architects, BI developers, and business analysts
- Regularly interact with global stakeholders to identify opportunities to enhance analytics, AI, and data platform capabilities
- Proactively identify, troubleshoot, and resolve data quality, performance, and reliability issues
- Provide administrative and operational support for the data platform, including monitoring, access support, incident resolution, and basic platform maintenance
- Contribute to documentation, standards, and best practices for data engineering and AI-ready data platforms
- Perform other duties as assigned
Education & Experience
- Bachelor’s degree in Computer Science, Data Analytics, or equivalent degree
- 3–5 years of hands-on experience as a Data Engineer or in a similar role
- Strong programming experience with Python
- Advanced SQL skills, including complex queries and performance tuning
- Hands-on experience with Snowflake or similar cloud data warehouses
- Experience supporting analytics and visualization tools such as Power BI (preferred), Tableau, or Cognos
- Good understanding of business domains such as Finance, Sales, Manufacturing, and Supply Chain
- Conceptual and practical understanding of data modeling, data integration, and data transformation techniques
- Experience with Microsoft Azure services, including Azure Data Factory, Azure Data Lake, Microsoft Fabric and related platform services
- Exposure to AI/ML workflows, feature engineering concepts, or data preparation for machine learning is a plus
- Relevant certifications (e.g., Snowflake Data Engineer, Azure Data Engineer) are desirable
Knowledge & Skills
- Self-motivated with the ability to work independently in a global, matrixed environment
- Strong verbal and written communication skills, including the ability to explain technical concepts to non-technical stakeholders
- Demonstrates a strong sense of ownership, urgency, and accountability
- Comfortable supporting both stable production platforms and fast-paced AI PoCs/pilots
- Strong analytical and problem-solving skills
- Consistently exhibits a positive, proactive, and “can-do” attitude
At Greif, we believe that our colleagues are the center of our success. Our Total Rewards have a comprehensive focus on well-being and offer a competitive package that enables you to thrive, be engaged, and reach your full potential.
Protect Yourself From Scams: We value the integrity of our recruitment process and prioritize the well-being of our candidates. While you may find Greif job postings on various platforms, all legitimate opportunities can be verified on our official Careers page at www.greif.com. All communication from Greif regarding job opportunities will also come from an @greif.com email address. If you have concerns about the legitimacy of a job posting, receive an unsolicited job offer or suspect fraudulent activity, please contact us for verification via this link Contact Us - Greif.
EEO Statement:
https://www.greif.com/wp-content/uploads/2023/04/HR-101-Equal-Employment-Opportunity-Policy-English.pdf
We offer a competitive salary, excellent benefits and opportunity for growth. Greif is an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of sex, race, religion, age, national origin, color, disability, veteran status or any other any other legally protected characteristic.
For more information read Greif’s Equal Opportunity Policy.
Skills Required
- Bachelor's degree in Computer Science, Data Analytics, or equivalent
- 3-5 years hands-on experience as a Data Engineer or similar role
- Strong programming experience with Python
- Advanced SQL skills, including complex queries and performance tuning
- Hands-on experience with Snowflake or similar cloud data warehouses
- Experience designing, developing, testing, and maintaining ETL/ELT pipelines
- Experience with Microsoft Azure services including Azure Data Factory and Azure Data Lake
- Experience with Microsoft Fabric and related platform services
- Experience supporting analytics and visualization tools (Power BI, Tableau, Cognos) — Power BI preferred
- Conceptual and practical understanding of data modeling, data integration, and data transformation techniques
- Ability to analyze, profile, and organize large volumes of structured and semi-structured data
- Exposure to AI/ML workflows, feature engineering, or data preparation for machine learning
- Relevant certifications (e.g., Snowflake Data Engineer, Azure Data Engineer)
- Strong verbal and written communication skills and ability to explain technical concepts to non-technical stakeholders
- Self-motivated with ability to work independently in a global, matrixed environment
- Strong analytical and problem-solving skills
- Comfortable supporting both stable production platforms and fast-paced AI PoCs/pilots
Greif, Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Greif, Inc. and has not been reviewed or approved by Greif, Inc..
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Fair & Transparent Compensation — Pay is characterized as solid and competitive for manufacturing roles, with multiple statements describing it as fair, decent, or great for the work. Pay levels are also framed as aligned with local standards or exceeding expectations in certain technical roles.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through 401(k) matching with a defined vesting timeline, alongside profit sharing or gain sharing in some contexts. These elements are repeatedly paired with positive statements about the overall package.
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Healthcare Strength — Healthcare offerings are described as comprehensive, spanning medical, dental, vision, and supplemental protections such as life and disability coverage. Additional options like HSAs and supplemental plans are presented as expanding choice and coverage breadth.
Greif, Inc. Insights
What We Do
Greif (NYSE: GEF, GEF.B), is a global leader in industrial packaging products and services and is pursuing its vision: be the best performing customer service company in the world. The Company produces steel, plastic and fibre drums, intermediate bulk containers, reconditioned containers, containerboard, uncoated recycled paperboard, coated recycled paperboard, tubes and cores and a diverse mix of specialty products. The Company also manufactures packaging accessories and provides filling, packaging and other services for a wide range of industries. Greif also manages timber properties in the southeastern United States. The Company is strategically positioned in more than 35 countries to serve global as well as regional customers. Additional information is on the Company's website at www.greif.com.
