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Data Engineer I

DHL

Are you ready to shape the data that powers real impact in the supply chain world? At DHL Supply Chain, we’re looking for a Data Engineer I who’s excited to build reliable data pipelines, enhance data accessibility, and support innovative solutions across the business. This is your chance to influence how information flows through our operations, driving smarter decisions and continuous improvement. If you’re a curious, collaborative problem solver with a passion for data engineering, growth, and meaningful impact—this role is for you! Job Description As a Data Engineer I, you’ll design and optimize data pipelines that ensure reliable, accessible information across DHL Supply Chain. You’ll develop and maintain data flows, integrate systems using various tools, and build models that support business objectives. Collaborating with developers, analysts, and data scientists, you’ll implement scalable architectures and identify opportunities to improve data quality and efficiency. This role is perfect for someone ready to enhance data usability and drive impactful solutions in a collaborative environment. Responsibilities Support developers, architects, analysts, and data scientists by improving data accessibility and usability. Maintain consistency across projects by following established data delivery architecture standards. Recommend and implement data pipeline designs that optimize data flow for cross functional teams. Design, build, and deploy data processes that serve multiple systems and products. Develop and sustain data workflows for modeling, mining, and production, identifying opportunities for new data acquisition and integration. Use a variety of languages and tools to integrate systems and enhance data reliability, efficiency, and quality. Architect, build, and launch data models that support business objectives and strengthen analytics capabilities. Collaborate with cross functional partners to ensure data initiatives align with organizational goals and stakeholder needs. Required Experiences Bachelor’s degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required 1+ years of experience in data engineering or a related technical role, required Hands on experience developing and managing data pipelines, required Strong understanding of SQL and experience with database management systems such as MySQL, PostgreSQL, or SQL Server, required Proficiency in programming languages such as Python, Java, or Scala, required Familiarity with data warehousing solutions and working with large datasets, required Knowledge of data modeling, ETL processes, and data warehousing concepts—particularly within Azure environments, required Experience with Azure Data Factory, Azure Databricks, or Azure Synapse Analytics, preferred Ability to work with data visualization tools such as Power BI, preferred Understanding of data governance and data quality principles, preferred At DHL Supply Chain, we foster a business casual environment focused on teamwork, associate development, and continuous improvement. We offer competitive wages, excellent insurance benefits (health, dental, vision, life), a 401K plan, paid vacation and holidays, and opportunities for career growth. We are proud to be an equal opportunity employer. #J-18808-Ljbffr DHL

Vacancy posted 2 days ago
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