Jr Data Engineer

About this Position As a Junior Data Engineer on the Customer Intelligence team at Henkel, you will help us build, scale, and maintain our global Customer Data Platform (CDP). You will be a key player in creating a 360-degree view of our customers, transforming raw data into actionable insights. Working alongside experienced engineers and architects, this role is perfect for a growth-minded developer with strong foundational coding skills who is eager to dive deep into modern cloud data environments, data mesh concepts, and end-to-end data pipeline development. What you´ll do Pipeline Development (35%): Collaborate on building and maintaining foundational end-to-end (e2e) ETL/ELT pipelines to extract data from internal and external sources (APIs, Service Connectors, Delta Sharing, and Kafka streams). Data Reshaping Modeling (25%): Use PySpark and SQL within Databricks to clean, transform, and reshape raw ingestion data. Gain hands-on exposure to our Data Vault customer and contact modeling frameworks. Activation Insights (10%): Support the development of our Gold/Business layer views to power business dashboards and assist in feeding processed data back into the Adobe Experience Platform (AEP) via APIs and streaming pipelines. Orchestration DevOps (15%): Write clean, version-controlled code using Git, participate in CI/CD DevOps workflows, and assist in monitoring pipelines using Databricks Workflows and Delta Live Tables (DLT). Quality Governance (15%): Write automated data quality tests, maintain clear technical documentation, and ensure data governance standards are strictly followed across your daily tasks.