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Henkel group

Data Engineer - copy

Henkel group Cairo, Cairo, Egypt

Manufacturing · 10,001+ employees

Oct 08
data-engineer Mid (2-5 yrs) Full-time Egypt
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About the role

Build and maintain scheduled metadata ingestion pipelines and governance automation that integrate enterprise platforms with DataHub, improving data quality, completeness, ownership, and lineage. Develop cloud-native solutions on Azure Kubernetes Service, support metadata APIs and AI-enabled access capabilities, and collaborate with global teams to ensure reliable platform operations.

What they look for

Python SQL Data Pipeline Engineering Metadata Management Data Governance Data Quality REST APIs GraphQL Microsoft Azure Databricks Kubernetes Data Lineage Automation CI/CD Analytical Problem-Solving Cross-Functional Collaboration

Requirements

The role requires strong Python and SQL skills, experience building reliable scheduled data pipelines, and familiarity with REST APIs, GraphQL, cloud platforms, and system integrations. Experience with Azure, Databricks, Kubernetes, metadata or governance platforms, CI/CD, and infrastructure automation is beneficial, alongside strong analytical, communication, and collaboration skills.

Benefits

Flexible Work Scheme Flexible Hours Hybrid Work Model Work From Anywhere Policy Growth Opportunities Health and Preventive Care Programs Gender-Neutral Parental Leave Employee Share Plan Health Insurance Employee Assistance Programme Mental Health and Wellbeing Benefits

Full description

About this Position

The Data Engineer supports the development and operation of Henkel’s enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers.

As part of a hands-on engineering environment, the position contributes to data quality, automation, and cloud-based capabilities that strengthen how data is discovered, understood, and trusted across Henkel.

What you´ll do

  • Build and maintain scheduled metadata ingestion

pipelines integrating platforms such as Databricks Unity Catalog, Power BI, SAP, and Azure Synapse into DataHub

  • Support and enhance governance automation solutions covering dataset

compliance, ownership, descriptions, lineage, and automated tagging

  • Develop and improve data quality and completeness scoring capabilities across

the enterprise data landscape

  • Work directly with DataHub SDKs, REST APIs, and GraphQL APIs to support

metadata operations and integrations

  • Contribute to AI-enabled metadata access capabilities supporting intelligent

assistants and modern AI solutions

  • Build and maintain data lineage between source systems and downstream

consumers

  • Develop scalable cloud-native solutions running on Azure Kubernetes Service

(AKS)

  • Collaborate with global and cross-functional teams to support scalable and

reliable enterprise data solutions

  • Support engineering best practices including testing, monitoring, and

continuous platform enhancements

What makes you a good fit

  • Strong experience with Python and SQL, including

working with analytical databases such as PostgreSQL or Databricks

  • Experience building and maintaining scalable and scheduled data pipelines,

including automation, error handling, and reliability practices

  • Understanding of REST APIs, GraphQL, and system integrations
  • Experience with cloud platforms and services, preferably Microsoft Azure and

Databricks

  • Familiarity with containerization technologies and Kubernetes-based

environments

  • Experience with metadata platforms or data governance solutions such as

DataHub or similar tools is considered a plus

  • Familiarity with CI/CD pipelines, infrastructure automation, and modern

engineering practices is an advantage

  • Strong analytical, problem-solving, and communication skills
  • Ability to work independently and collaborate effectively with technical and

non-technical stakeholders

  • Passion for data quality, governance, automation, and scalable engineering

solutions

  • Comfortable working with modern technologies, open-source solutions, and

continuously learning new concepts and tools

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.

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