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Werkstudent (m/w/d) – Data Engineering & Analytics Job Opening In Nassau – Now Hiring Leifheit


Job description

Hier sind deine Ideen gefragt:

Wir bieten dir die Möglichkeit im Rahmen einer mind.

einjährigen Werkstudententätigkeit in die Aufgaben der Datenanalyse hineinzuwachsen.

In enger Zusammenarbeit mit dem Manager Digital Excellence Operations übernimmst du zunehmend eigene Aufgabenbereiche und Verantwortung.

Dich erwarten folgende Aufgaben:

  • Unterstützung bei der Konzeption, Entwicklung und Pflege skalierbarer Datenpipelines mit Python und Microsoft Fabric
  • Mitarbeit bei der Extraktion, Transformation und dem Laden (ETL/ELT) von Daten aus strukturierten und unstrukturierten Quellen
  • Aufbau und Verwaltung von Data Lakes, Data Warehouses und semantischen Modellen
  • Aufbereitung und Transformation von Daten für Analysen und Visualisierungen
  • Unterstützung des Analytics-Teams bei der Integration von Datenquellen, der Erstellung von DAX-Maßnahmen und beim Aufbau von Self-Service BI in Power BI
  • Dokumentation von Datenmodellen, Pipelines und Prozessen zur Sicherstellung von Transparenz und Nachvollziehbarkeit
  • Das bieten wir dir:

  • 30 Tage Urlaub im Jahr
  • flexible Arbeitszeiten
  • Möglichkeit zum mobilen Arbeiten
  • Faire Vergütung auf Stundenbasis
  • Mitarbeiterrabatte, Firmenevents
  • Mitarbeit in einem engagierten und motivierten Team
  • Das bringst du mit:

  • Laufendes Studium in Informatik, Data Engineering, Wirtschaftsinformatik, Business Intelligence oder einem vergleichbaren technischen Studiengang
  • Verständnis von Data-Engineering-Prinzipien, Datenarchitektur und Datenbankmanagement
  • Sehr gute Kenntnisse in Python zur Datenmanipulation, Skripterstellung und Pipeline-Entwicklung
  • Vertrautheit im Umgang mit Data Lakes, semantischen Modellen und Data Warehouses
  • Praktische Erfahrung mit Power BI, insbesondere bei der Erstellung komplexer DAX-Maßnahmen und berechneter Spalten
  • Gute Kenntnisse in Microsoft Excel und weiteren Office-Tools
  • Sehr gute Englischkenntnisse in Wort und Schrift
  • Das sind wir:

    Unsere Ideen, die Dein Leben leichter machen: Seit 65 Jahren gehört die Leifheit AG zu den führenden Anbietern von Haushaltswaren in Europa.

    Mit den Marken Leifheit und Soehnle, zwei der bekanntesten Marken Deutschlands, möchten wir das Leben von Verbrauchern erleichtern.

    Unsere Geschäftsbereiche sind Reinigung, Wäschepflege, Küchenhelfer, Personen- und Küchenwagen – dabei begeistern wir durch hochwertige und innovative Produkte mit überlegenem Gebrauchsnutzen und funktionalem Design.

    Rund 1.100 Mitarbeitende weltweit gestalten diesen Erfolg mit ihren Ideen.

    Unsere Unternehmensvision zeichnet sich durch höchste Verbraucherzufriedenheit, eine unternehmerische Kultur und eine nachhaltige Denkweise aus.

    Werde auch Du Teil des Leifheit-Teams!

    Required Skill Profession

    Computer Occupations


    • Job Details

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Leifheit adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying Germany laws and regulations

    What Is the Average Salary Range for Werkstudent (m/w/d) – Data Engineering & Analytics Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Nassau. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Key qualifications for Werkstudent (m/w/d) – Data Engineering & Analytics typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Werkstudent (m/w/d) – Data Engineering & Analytics Job Success

    Leifheit interview tips for Werkstudent (m/w/d) – Data Engineering & Analytics

    Here are some tips to help you prepare for and ace your Werkstudent (m/w/d) – Data Engineering & Analytics job interview:

    Before the Interview:

    Research: Learn about the Leifheit's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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