Z ustvarjanjem dragocene zapuščine skoraj 150 let vsak dan stremimo k preoblikovanju in izboljšanju življenja. Danes in za prihodnje generacije. Z našimi inovativnimi in trajnostnimi blagovnimi znamkami ter tehnologijami v naših timih sodelavcev po vsem svetu. Henkel zavzema vodilne položaje tako na področju industrije kot tudi potrošniškega blaga: Naš portfolio vključuje dobro znane izdelke za nego las, detergente za pranje perila, mehčalce ter lepila, tesnila in funkcionalne premaze.
Data Analytics Engineer
Apply for this role
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.
O podjetju Henkel
Vprašanja in odgovori
Zanima me več delovnih mest. Ali se lahko hkrati prijavim na več delovnih mest?
Da – preprosto izpolnite svoj profil v našem spletnem prijavnem sistemu. Ko je vaš spletni profil dokončan, se lahko prijavite na več delovnih mest.
Ponudba za delovno mesto je napisana v angleškem jeziku – ali naj tudi svojo prijavo pripravim v angleškem jeziku?
Da, prosim. Ker je Henkel mednarodna družba, boste sodelovali s kolegi z vsega sveta in angleški jezik je uradni jezik podjetja. Na splošno velja pravilo: Prijavo napišite v istem jeziku, v katerem je tudi oglas za zaposlitev.
Ali bom med postopkom prijave prejemal povratne informacije o stanju moje prijave?
Vsako delovno mesto, ki je na voljo pri Henklu, je edinstveno in iskanje pravega kandidata je zelo pomembno za kandidata, ki ga zaposlimo, ter tudi za družbo Henkel. Poskrbeti želimo, da bosta kandidat in družba primerna izbira drug za drugega. Kandidatom bomo skozi celotni postopek nudili povratne informacije.
Na koga se lahko obrnem, če imam vprašanja glede svoje prijave?
Naš oddelek za zaposlovanje vam bo pomagal pri vseh zahtevah v zvezi z vašo prijavo. Z oddelkom stopite v stik tukaj.