Data Engineer

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 too...