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.
What makes you a good fit
- * Solid programming skills in Python and high proficiency in writing and optimizing SQL queries.
- Working with third-party APIs
- Foundational understanding of core data warehousing concepts and ETL/ELT processes.
- Basic familiarity with Git for version control.
- Good communication skills with the ability to explain technical ideas clearly and work collaboratively within an agile team environment.
- Hands-on exposure to Databricks, PySpark, or Delta Live Tables (DLT) is a plus.
- Basic understanding of automated CI/CD DevOps concepts.
- Exposure to streaming data concepts (e.g., Kafka).
- Vision-Driven: You care about the 'why' behind the code and the broader goal, rather than just executing isolated, task-driven assignments.
- Growth & Curiosity: A proactive learner who is excited to pick up advanced concepts like Data Vault modeling and decentralized Data Mesh paradigms.
Some perks of joining Henkel
- * Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
- Diverse national and international growth opportunities
- Global wellbeing standards with health and preventive care programs
- Gender-neutral parental leave for a minimum of 8 weeks
- Employee Share Plan with voluntary investment and Henkel matching shares
- Comprehensive Health Insurance for employee + dependents
- Employee Assistance Programme provides a wide range of mental health and wellbeing benefits
At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
