{"id":2034263,"url":"https://alion.io/job/henkel-jr-data-engineer","title":"Jr Data Engineer","company":{"id":14724,"name":"Henkel","domain":"henkel.com","url":"https://alion.io/company/henkel","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Cornerstone","truth_index":{"grade":"A","score":94,"open_postings":664,"ghost_share":0.002,"stale_share":0.221,"repost_share":0.002,"time_to_fill_p50_days":30,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-10T12:00:00Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-12T19:55:36Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":93},"description":"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.\nWhat 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.\nActivation 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). 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