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Data Engineer (m/f/d) Job Opening In Berlin – Now Hiring Swissbit


Job description

A Swissbit more you.

Brainpower meets High Tech
Swissbit ist Europas führender Hersteller von Flash-Speicher- und Sicherheitslösungen – mit Entwicklungsstandorten in Bronschhofen, Berlin, München sowie in den USA.

Wir kombinieren unsere einzigartigen Kompetenzen bei Speicher- und Sicherheitsprodukten mit unserem Advanced Packaging-Know-how, um Daten zuverlässig zu speichern und zu schützen.
Nutze die Chance in unserem IT-Team mitzuwirken und gemeinsam mit uns anspruchsvolle, zukunftsorientierte Projekte nach höchsten Qualitätsstandards umzusetzen.

Deine Mission

Gestalte mit uns eine leistungsstarke und zukunftssichere Dateninfrastruktur
 Als Data Engineer spielst du eine zentrale Rolle beim Aufbau und der Weiterentwicklung unserer BI- und Analytics-Lösungen.

Du sorgst dafür, dass Daten aus verschiedenen Quellen – von SAP und Salesforce bis zu internen Systemen – nahtlos integriert, strukturiert und für Analysen verfügbar gemacht werden.
Mit deinem Know-how in Data Warehousing, Data Lakes und modernen Cloud-Technologien hilfst du, Swissbits Datenlandschaft flexibel, performant und zuverlässig zu gestalten.

Dabei arbeitest du eng mit unseren Fachbereichen zusammen, treibst Innovationen voran und setzt neue Standards in Sachen Datenqualität und Transparenz.

Spannende Aufgaben warten auf Dich

  • Mitarbeit an Planung und Aufbau unserer BI-/Analytics-Lösung
  • Verantwortung für die Datenintegration (Quellenanbindungen SAP, Salesforce, interne Systeme; Aufbau von ETL-Prozessen & Data Pipelines)
  • Entwicklung und Pflege von Data Warehouse (DWH) und Data Lakes
  • Pflege des Data Dictionary und Data Catalogs
  • Definition und Umsetzung von Datenkonformitäts-, Datenqualitäts- und Überwachungsprozessen
  • Weiterentwicklung des Swissbit-Datenmodells in enger Abstimmung mit den Business Units
  • Prüfung neuer Vorhaben auf Kompatibilität mit unserer BI-Architektur
  • Evaluierung neuer Data-Management-Trends und Technologien, um unser BI-Umfeld schlank, flexibel und performant zu halten
  • Erarbeitung von Vorgaben für Tool- und Architekturstandards im Rahmen unserer BI-Strategie

Dein Profil

  • Abgeschlossenes Studium der Wirtschaftsinformatik oder vergleichbare Qualifikation
  • Mehrjährige Berufserfahrung als Data Engineer oder in ähnlicher Position
  • Sehr gute Kenntnisse in RDBMS und ETL (insbesondere Microsoft)
  • Fundierte Erfahrung mit der Microsoft Azure Analytics-Landschaft (Data Factory, Power BI)
  • Exzellente SQL-Kenntnisse (zwingend erforderlich)
  • Grundkenntnisse in SAP und Salesforce wünschenswert
  • Weitere Programmiersprachen im DWH-Kontext von Vorteil
  • Know-how im Bereich Künstliche Intelligenz (KI) wünschenswert
  • DevOps-Erfahrung und agiles Mindset wünschenswert
  • Ausgeprägte Organisations- und Projektmanagementfähigkeiten
  • Sehr gute Deutsch- und gute Englischkenntnisse
  • Sehr gute MS-Office-Kenntnisse, insbesondere Excel
  • Reisebereitschaft 5-10 %

Was wir Dir bieten

  • Spannende Projekte & technische Vielfalt in einem innovativen Mittelständler
  • Offenes, wertschätzendes Team & strukturierte Einarbeitung 
  • Flexible Arbeitszeiten & Jahresarbeitszeitkonto
  • Top angebunden – ÖPNV & Parkplatz vor der Tür
  • Individuelle Weiterbildungs- & Entwicklungsmöglichkeiten
  • Kaffee, Kicker, Tischtennis & Grill auf der Dachterrasse inklusive 

Über uns

Swissbit ist Europas führender Anbieter von Speicher- und Security-Lösungen für Industrie und IoT.
Wir entwickeln und produzieren in Deutschland – für höchste Zuverlässigkeit, Langzeitverfügbarkeit und sichere Daten in kritischen Anwendungen.
Mit Standorten in der Schweiz, Deutschland, den USA, Japan und Taiwan sind wir international vernetzt.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in Berlin, Germany, highlighting market share and opportunities for professionals in Data Engineer roles.

22504 Jobs in Germany
22504
2518 Jobs in Berlin
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Are You Looking for Data Engineer (m/f/d) Job?

Great news! is currently hiring and seeking a Data Engineer (m/f/d) to join their team. Feel free to download the 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 Swissbit 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 Data Engineer (m/f/d) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Berlin. 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 Data Engineer (m/f/d) 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 Data Engineer (m/f/d) Job Success

Swissbit interview tips for Data Engineer (m/f/d)

Here are some tips to help you prepare for and ace your Data Engineer (m/f/d) job interview:

Before the Interview:

Research: Learn about the Swissbit'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.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineer (m/f/d) interview at Swissbit, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Swissbit's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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