Welcome to DHL eCommerce!
We are excited to announce an exceptional opportunity within our organization for individuals seeking to join the dynamic world of DHL eCommerce. As part of our continuous growth and commitment to excellence, we are looking for talented professionals to contribute to our expanding global network.
At DHL eCommerce we provide a variety of international and domestic standard parcel delivery services in more than 35 countries around the globe. In selected markets we furthermore offer fulfillment services to customers. In line with the Group Strategy our aim is to be a leading provider of e-commerce related logistics. For this we are designing solutions across the entire DHL Group service portfolio for selected customers. As an integral part of the DHL Group, we leverage our extensive global network and cutting-edge technology to offer end-to-end e-commerce logistics solutions to our customers.
Joining our team means becoming part of a diverse and inclusive workplace culture that fosters collaboration, creativity, and personal growth. We value the unique perspectives and skills that each individual brings, and we believe that together we can achieve great things. As a global leader in logistics, DHL eCommerce offers unparalleled opportunities for career development and advancement, allowing you to unleash your full potential.
Build the Azure Data Platform from Scratch
Design and build our enterprise Azure data architecture, including Data Lake, Fabric Workspaces, Lakehouse, and Warehouse components.
Develop end-to-end data ingestion and transformation pipelines using Azure Data Factory and Fabric Data Factory.
Establish foundational components such as:
Data Lake zones (raw, curated, analytics)
Data governance and catalog (Purview / Fabric)
Security model and access controls
Naming conventions and workspace organization
Data Engineering & Pipeline Development
Build reliable and reusable ETL/ELT pipelines to support operational, analytical, and reporting workloads.
Implement Lakehouse patterns in Microsoft Fabric, enabling high-performance Direct Lake datasets for Power BI.
Create and maintain scalable batch and streaming data ingestion using services such as Event Hub, Synapse, and Functions.
Data Modeling & Analytics Enablement
Develop high-quality dimensional and semantic models used as the single source of truth across the organization.
Enable BI and product teams by delivering clean, high-performance datasets for dashboards, operational reports, and machine learning initiatives.
Define and document data engineering best practices, coding standards, and architecture guidelines.
Lead performance tuning and cost optimization across Azure workloads.
Support implementation of CI/CD pipelines using Azure DevOps or GitHub Actions.
Collaboration & Stakeholder Partnership
Work closely with the Operations, Product, and Finance teams to understand data needs and design scalable solutions.
Support ML/AI experimentation with structured, high-quality datasets.
Partner with system owners and other enterprise platforms to integrate and unify data.
Technical Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
- 2-6+ years of data engineering experience.
- Azure Data Engineer or Fabric Analytics Engineer certifications are preferred.
- Proven experience building or significantly contributing to Azure data architecture (Data Factory, ADLS, Synapse, Databricks/Spark, Azure SQL).
- Hands-on experience with Microsoft Fabric, including:
Strong SQL expertise and proficiency in Python for data transformations.
Understanding of data modeling (star schema, dimensional modeling) and ELT/ETL patterns.
Experience with Git-based development and CI/CD.
