Customer Solutions & Innovation (CSI) is DHL's cross-divisional commercial and innovation unit. We are responsible for managing about 100 of DHL's largest and most strategically important customers providing them with sector expertise, best in class account management and most innovative products & solutions. Discover the unique, international spirit of DHL where your commitment is recognized and rewarded.

Data Engineer (d/f/m)

• Grade: RCS K
• CSI Sector / Function: Tech
• Contract Type: Permanent
• Employment Type: Full-time
• Work Mode: Hybrid
• Location: flexible within Germany, with a preference to be based in Bonn or Troisdorf
• Recruiting Contact: CSI Recruiting Team recruiting.dpbh@dhl.com
• Hiring Manager: Delia-Lisa Feis

If you are a data-driven professional with a passion for designing and optimizing data architectures to drive business efficiency, we invite you to apply for the (Senior) Data Engineer position. Join our team and play a pivotal role in transforming data into a strategic asset for our organization.

Principal Accountabilities

• Design and implement scalable data architectures supporting the integration of multiple data sources, ensuring efficient, reliable data flow and accessibility across the organization.
• Develop, operate, and optimize data pipelines and ETL processes for large-scale datasets, ensuring performance, reliability, and cost efficiency.
• Build and operationalize AI agent capabilities on Azure Databricks, including agent orchestration patterns and reusable components, ensuring secure access to enterprise data and tools.
• Design and implement Model Context Protocol (MCP)-based integrations to connect agents with internal and external systems, enabling standardized, future-proof orchestration.
• Collaborate closely with data scientists as a technical sparring partner, translating business use cases into scalable data and AI architectures, including setup, connectivity, and runtime considerations.
• Engage with IT and business stakeholders to gain access to data sources, define ingestion patterns into the data lake, and establish reliable refresh and monitoring cycles.
• Analyze, monitor, and troubleshoot data and AI workflows, ensuring data integrity, availability, and robustness for downstream analytics and agentic applications.
• Evaluate and integrate new data, database, and platform technologies, assessing architectural impact, scalability, and operational cost implications.
• Drive proactive data acquisition and platform improvements, demonstrating a self-starter mindset and continuously identifying opportunities to enhance data and AI foundations.

Knowledge, Skills and Experience

• 3+ years of experience in data engineering, with strong exposure to data architecture, ETL pipelines, and performance optimization in production environments.
• Strong expertise in cloud-based data platforms, preferably Azure, including Databricks, data lakes, and orchestration of scalable data workloads.
• Hands-on experience with agentic AI engineering, including building, orchestrating, and operationalizing agents on modern data/AI platforms (ideally Databricks).
• Practical experience with Model Context Protocol (MCP) or comparable agent–tool integration patterns, enabling secure, governed access to enterprise systems and APIs.
• Advanced programming skills in Python and SQL, with proven experience using PySpark for large-scale data processing.
• Solid understanding of data warehousing, data modeling, and lakehouse architectures, with the ability to design for scale, reliability, and performance.
• Experience integrating data via APIs, batch, and event-driven mechanisms, including external systems and enterprise platforms.
• Strong problem-solving mindset and proactive attitude, with the ability to independently identify, analyze, and resolve complex data and platform challenges.
• High learning agility and interest in emerging technologies, including Generative AI, agentic architectures, and evolving data engineering best practices.

What’s in for you:

• Global Influence & Strategic Impact
  Drive the development AI innovation shape our Data model on a global scale.
• Work at the Heart of Innovation
• Join DHL’s Customer Solutions & Innovation division, where creativity and forward-thinking are part of everyday business.
• Unmatched Career Growth Opportunities
  Benefit from a clear path for professional development within a global organization recognized for leadership and excellence.
• Be Part of THE Logistics Company for the World
  Enjoy the stability, reputation, and resources of DHL while contributing to projects that make a real difference.

Interested in this opportunity?

If you have any questions regarding the job, please feel free to reach out to recruiting.dpbh@dhl.com.

Submit your application in English including your CV, cover letter, academic records, and your reference letters (if applicable).

Apply now! We are looking forward to your application!

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As an equal opportunity employer, we welcome applications from everyone. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.