About Us:
Our client is a global leader in banking, dedicated to innovation, sustainability, and operational excellence. We are committed to optimizing our supply chain to ensure the best service to our clients and partners. Our goal is to leverage data to drive efficiency, reduce costs, and improve decision-making. To support this mission, we are seeking a talented Data Engineer with solid experience in supply chain operations to join our growing team.
Position Overview:
As a Data Engineer within our Supply Chain team, you will play a pivotal role in transforming data into actionable insights that improve the overall performance of our logistics and supply chain operations. You will collaborate closely with cross-functional teams including logistics, procurement, and IT to build scalable data architectures, ensure seamless data integration, and create real-time analytics platforms. Your work will directly impact our ability to forecast demand, optimize inventory, streamline transportation, and identify bottlenecks in the supply chain.
Key Responsibilities:
- Data Pipeline Development: Design, develop, and maintain end-to-end data pipelines to support supply chain operations. Ensure the scalability, reliability, and performance of data integration systems.
- Data Management: Collect, clean, and organize large datasets from multiple internal and external sources (e.g., ERP systems, sensors, transport data, supplier databases). Ensure the integrity and quality of data used for decision-making.
- Data Analytics & Reporting: Collaborate with data analysts to create real-time dashboards and reporting tools that provide actionable insights for supply chain managers. Develop predictive models to improve demand forecasting, inventory management, and transportation routing.
- Performance Optimization: Analyze supply chain workflows and identify areas for process improvement using data-driven insights. Recommend changes that lead to cost savings, reduced lead times, and improved customer satisfaction.
- Automation & Efficiency: Implement automation tools to streamline repetitive processes, such as order tracking, warehouse management, and supplier communication.
- Collaboration & Support: Work closely with supply chain stakeholders, data scientists, and software engineers to understand business needs and translate them into technical solutions. Support various teams in data-related decision-making.
Skills & Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.
- 3 to 5 years of experience as a Data Engineer, preferably with exposure to supply chain or logistics.
- Proficient in Python, SQL, and data pipeline frameworks (e.g., Apache Airflow, Spark).
- Experience working with databases (SQL, NoSQL), cloud platforms (AWS, Azure, Google Cloud), and data visualization tools (e.g., Power BI, Tableau).
- Strong understanding of supply chain processes such as demand forecasting, inventory management, procurement, and transportation.
- Familiarity with machine learning models for predictive analytics is a plus.
- Excellent problem-solving skills, attention to detail, and ability to work in a fast-paced, cross-functional environment.
- Strong communication skills with the ability to translate technical data insights into business value.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A dynamic and collaborative work environment with a focus on innovation.
- The chance to make a real impact on global supply chain operations.
How to Apply:
If you're a data enthusiast with a passion for optimizing supply chains, we'd love to hear from you! Please send your resume and a cover letter to sona.toghramajyan@oliverjames.com with the subject line "Data Engineer Supply Chain Application."
