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汉高
Data Engineer
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Data Engineer

发布于 大约 14 小时前

普通员工/个人贡献者

Egypt, Cairo
中级经验
全职员工
混合式弹性办公
学历未注明
信息技术与基础设施
CI/CD
Graphql
Sql
Rest Apis

AI 估算 · 14k–28k

Data Engineer role at a multinational in Cairo; competitive local salary with benefits. Typical monthly range for mid-level: 140

职位详情

关于这个职位

As a Data Engineer at Henkel, you will build and maintain enterprise metadata pipelines, focusing on data governance, quality, and automation. You'll work with modern cloud and container technologies like Azure, Databricks, and Kubernetes, integrating platforms into the central DataHub. This role is ideal for someone passionate about data engineering and scalable solutions.

最低要求

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
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

工作职责

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

优先资格

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

AI 洞察

优缺点分析

优点

  • Work with cutting-edge data technologies like Databricks, Kubernetes, and graph APIs, enhancing your modern data stack skills.
  • Join a global company with strong emphasis on growth, wellbeing, and flexible work policies.
  • Opportunity to influence enterprise data governance and quality at scale.
  • Requires comfort with multiple complex systems and integrations
  • steep learning curve for metadata platforms.
  • Balancing global collaboration across time zones may require occasional flexibility.
  • Ideal for data engineers who enjoy building infrastructure, are passionate about data governance, and thrive in a cloud-native, automation-focused environment.

缺点 / 挑战

暂无明显挑战项

角色解读

  • Progress to Senior Data Engineer or Data Architect with deeper expertise in metadata and governance.
  • Move into data platform management or lead engineering teams as you gain experience.
  • Branch into AI/ML engineering by leveraging the AI-enabled metadata capabilities you build.
  • Build and maintain metadata ingestion pipelines to integrate enterprise platforms like Databricks, Power BI, and SAP into DataHub.
  • Develop automation solutions for data governance, quality scoring, and lineage tracking across the data landscape.
  • Work with cloud-native technologies (Azure, AKS) and APIs (REST, GraphQL) to enable scalable data operations.
  • Strong Python and SQL skills for building robust data pipelines.
  • Experience with cloud platforms, especially Azure and Databricks, plus containerization with Kubernetes.
  • Understanding of metadata management and governance tools like DataHub.

申请策略

  • Research Henkel's digital transformation initiatives and express interest in data governance.
  • Prepare a project example where you automated data quality or lineage tracking.
  • Emphasize experience with Python, SQL, and building scalable pipelines on Azure or similar cloud platforms.
  • Highlight any work with metadata tools (DataHub, Collibra, etc.) or data governance initiatives.
  • Showcase familiarity with Kubernetes, containerization, and CI/CD practices.
  • Deepen knowledge of Databricks Unity Catalog and Azure Synapse Analytics.
  • Practice GraphQL API interactions and building connectors to enterprise systems.

面试指南

  • Use STAR: describe a specific situation, task, action, and result for pipeline or governance work.
  • For technical questions, walk through architecture decisions and trade-offs clearly.
  • How would you design a metadata ingestion pipeline for a new data source?
  • Explain how you ensure data quality and completeness in a distributed data landscape.
  • Describe your experience with Kubernetes and containerizing data applications.
  • Review DataHub documentation and understand its SDKs and APIs.
  • Practice designing a scalable pipeline on Azure using Data Factory or Databricks.
  • Prepare examples of cross-team collaboration on data initiatives.

职位点评

75
综合评分

Modern data engineering role with strong development and lifestyle benefits, but limited social impact.

从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。

更适合这类人
This role suits candidates motivated by skill growth, modern tech, and work-life balance.
表现最好
成长发展
相对薄弱
使命价值
薪资福利70
成长发展85
工作生活85
使命价值50

薪资福利

70中等

Compensation is not disclosed but likely competitive for Cairo market. Benefits package is comprehensive including health insurance, shares, and parental leave.

薪资信号未披露（AI估算：14K-28K/月）
福利待遇Flexible work scheme、hybrid work model、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

成长发展

85较高

Role involves modern tech stack (Azure, Databricks, Kubernetes, DataHub) and explicit growth opportunities. Strong skill development potential.

技术前沿前沿/新兴技术
技术栈Python、SQL、Databricks、Azure、Kubernetes、DataHub、GraphQL
成长机会Diverse national and international growth opportunities
业务类型cost_center

工作生活

85较高

Highly flexible work model with hybrid, flexible hours, and work-from-anywhere policy up to 30 days per year. Strong WLB signals.

工作模式混合式弹性办公
办公地点未明确
加班情况未提及（无法判断）
工作生活平衡Flexible work scheme with flexible hours、hybrid work model、work from anywhere policy for up to 30 days per year

使命价值

50较低

The role contributes to internal data governance platforms; social impact is neutral. Industry is stable but not high-growth.

行业发展稳定成熟行业
社会影响中性/一般
创新程度积极采用新技术

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