Sr Data Engineer

About this Position As a Senior Data Engineer on Henkel's Customer Intelligence team, you will drive the engineering implementation, scaling, and operational excellence of our global Customer Data Platform (CDP). Working in close alignment with our Solution Architect, your mission is to bring our architectural blueprints to life by delivering expert data modeling, high-performance data pipelines, and robust engineering standards. We are looking for a seasoned professional who thrives on solving intricate data engineering challenges, prioritizes long-term product vision over basic task completion, and enjoys mentoring team members while translating technical paradigms into clear business outcomes.

What you´ll do Pipeline Development (30%): Build, scale, and optimize enterprise-grade, high-throughput ingestion pipelines from complex internal and external sources using Kafka streaming, Delta Sharing, custom APIs, and Service Connectors. Data Reshaping Modeling (30%): Own the physical implementation, refinement, and expansion of our Data Vault customer and contact models within Databricks. Map data lineage and support our transition toward a decentralized Data Mesh philosophy.

Activation Insights (15%): Engineer optimized Gold/Business layer views to feed executive dashboards and deploy high-performance streaming/API pipelines to push activation-ready data seamlessly into the Adobe Experience Platform (AEP). Orchestration DevOps (10%): Set engineering standards for pipeline orchestration using Databricks Workflows and Delta Live Tables (DLT). Manage and mature our Git workflows, branching strategies, and automated CI/CD DevOps deployment pipelines.

Quality Governance (15%): Lead the implementation of advanced data quality framework testing, automate validation rules, establish comprehensive documentation, and collaborate directly with architects on solution designs.