ヘンケルは、創業以来約150年以上にわたって築き上げてきた確固たる経験に基づき、毎日の生活を見つめ直し、より快適で豊かなものにするべく取り組んでいます。現在、そして未来の世代のために、革新的でサステナブルなブランドとテクノロジーを通じて、世界中のチームとともに邁進しています。ヘンケルは、インダストリアル事業およびコンシューマー向け事業で業界リーダーとしての地位を確立しています。当社の取扱製品には、一般的なヘアケア製品、洗濯用洗剤、柔軟剤といったものから、接着剤、シーリング剤、機能性コーティング剤などがあります。
Data Analytics Engineer
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About this Position
In this role, you will design and build scalable data assets and analytical solutions that enable data-driven decision-making across BI Team.
What you´ll do
- Design, build, and maintain analytical data models and cubes (e.g., Azure Analysis Services / semantic models) to support reporting and advanced analytics
- Develop scalable data pipelines on Databricks using Python and Spark to transform raw data into trusted data assets
- Build and manage end-to-end data assets, from ingestion to curated datasets ready for BI consumption
- Ensure data quality, consistency, and performance optimization across analytics solutions
- Collaborate closely with business stakeholders, analysts, and data teams to translate requirements into scalable solutions
- Contribute to modern analytics architecture, best practices, and reusable frameworks
- Leverage AI-powered tools (e.g., Copilot, Genie, LLM-based solutions) to improve development efficiency and explore new use cases
- Continuously explore new technologies and proactively drive improvements within the data landscape
What makes you a good fit
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
- 3–5 years of experience in data engineering / analytics engineering
- Strong hands-on experience with Python & PySpark, Databricks (highly preferred), SQL & data modeling (dimensional modeling is a plus)
- Experience building and maintaining analytical models / semantic layers (e.g., cubes, tabular models, Analysis Services, Power BI models)
- Familiarity with Spark-based data processing frameworks
- Experience working with Git and collaborative development workflows (CI/CD is a plus)
- Strong understanding of end-to-end data pipelines and data lifecycle
- Interest or experience in AI-driven development (GenAI, copilots, automation 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.
JOB ID: 26097659
Job Locations: Egypt, Cairo
Contact information for application-related questions: recruitmenteg@henkel.com
Please do not use this email address for sending your application or CV. To apply, please click on the "Apply for this role" button below. Applications sent via e-mail will not be accepted.
Application Deadline: As long as the vacancy is listed on our Career Site, we are happy to receive your application
Job-Center: If you have an application already, you can create or log in to your account here to check the status of your application. In case of new account creation, please use your email address that you applied with.
Henkel について
FAQ
複数の職種に関心があります。同時に複数の職種に応募できますか？
はい。当社のオンライン応募システムにご自分のプロフィールを入力するだけです。オンラインプロフィールが完成したら、複数の職種に応募することができます。
求人情報は英語で書かれています – 応募も英語にすべきですか？
はい、英語でご応募ください。ヘンケルはグローバル企業であるため、世界中の同僚と働くことになります。また、当社では、英語が公用語です。一般的に、求人広告と同じ言語で応募書類を書くことが原則です。
応募した後、応募の進捗について連絡がありますか？
ヘンケルで募集している職種に同じものはありません。したがって、適切な候補者を見つけることは、雇用される応募者のみでなくヘンケルにとっても重要です。候補者と当社の双方がお互いに適していることを確認したいと考えています。進捗状況は随時応募者にお知らせします。
登録に関する質問がある場合、どちらに連絡すればよいですか？
テクニカルな質問やオンライン応募プロセスに関する質問は、こちらをクリックしてください 。