An external freelance lecturer for “Big Data & Analytics” (m, f, d) (Digital Business and Data [...]

Applied Sciences GmbH

Hamburg

Vor Ort

EUR 40.000 - 60.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Varied, innovative working environment
Opportunity for personal and professional development

Zusammenfassung

Applied Sciences GmbH in Hamburg is seeking an external freelance lecturer for the course "Big Data & Analytics" in the Digital Business and Data Science program. Responsibilities include implementation of the course in English, focusing on key concepts of Big Data and management.

The ideal candidate has relevant professional experience and at least a Master’s degree, with preferred teaching experience. This position emphasizes on-site teaching with an open-ended framework contract.

Qualifikationen

  • Relevant professional experience in Computer Science or Data Science.
  • Completed relevant university studies (at least a Master's degree).
  • Teaching experience at universities is preferred.

Aufgaben

  • Implementation of the course focused on Big Data & Analytics.
  • Preparation and evaluation of certificates of achievement.

Kenntnisse

Computer Science/Data Science
Teaching experience at universities
Strong teamwork and communication skills
Organizational skills

Ausbildung

Master’s degree in relevant field

Jobbeschreibung

Your Responsibilities

An external freelance lecturer for “Big Data & Analytics” (m, f, d) (Digital Business and Data Science, B.Sc.) in Hamburg, Germany.

The teaching load comprises 3 SWS (teaching units with each unit being 45 min).

The opportunity: To become an adjunct lecturer at a university of applied sciences in Hamburg, Germany and to share your knowledge and passion with students from all over the world.

Key Activities & Responsibilities:

  • Implementation of the course (language of instruction: English), in particular:
    • Hypertext markup languages (HTML, HTML DOM, etc.)
    • Definition of Big Data and applications
    • Task of Big Data Management
    • Data architecture and ontology
    • Challenges in data management: Data quality and availability
    • Roles in data governance: Data owner, data user, data steward
    • Data base management (relational and non-relational databases)
    • Introduction to Hadoop and the Hadoop ecosystem
    • Methods for data analytics and data visualization
    • Implementation of methods in a relevant programming language
    • Business Intelligence and Data Science in Business
  • Preparation and evaluation of certificates of achievement
Your profile
  • Relevant professional experience in the fields of Computer Science/Data Science
  • Place of residence must be in or near Hamburg/Germany (lectures must take place on-site or in a hybrid model; no option of teaching online)
  • Completed relevant university studies (at least a Master’s degree)
  • Teaching experience at universities is preferred
  • Strong teamwork and communication skills
  • Organizational skills and willingness to work hard
  • Experience working in international environments welcome
  • Must be eligible for freelance work if you are a non-EU citizen, e.g., you have full- or part-time employment or are a full-time registered freelancer
Why us?

We’re offering you:

  • An open-ended framework contract as an external lecturer
  • A varied, innovative and international working environment in collaboration with partner universities and cooperation partners
  • The chance to develop yourself, both personally and professionally

Disclaimer: Please note that applicants must be currently located in or near Hamburg, Germany. This position requires on‑site teaching, and remote or fully online applicants cannot be considered.

Your application should include the following documents: CV, Cover Letter, References and possible start date.

As an employer, we are committed to equal opportunity and support for minorities. We do not discriminate based on ethnic origin, skin colour, religion, sexual orientation, gender identity, national origin, disability or legally protected status.

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