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Location
In office (New Cairo)
Seniority
Junior

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Jul 10, 2026. Henkel scores A on the Alion truth index.

Overview
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Impact
Profile match
Henkel is a German multinational chemical and consumer goods company headquartered in Düsseldorf, organised into two business areas, Adhesive Technologies and Consumer Brands, with brands such as Loctite, Persil and Schwarzkopf. Founded in 1876 and listed in the DAX, it operates worldwide, with its North American headquarters in Rocky Hill, Connecticut, and large teams in Stamford, Boulogne-Billancourt, Shanghai, Brussels and Bratislava. Its vacancies include field sales and sector managers, production planners, quality engineers, engineering project managers, R&D and packaging interns, enterprise architects, logistics managers and legal counsel.

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.

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