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

Global University Systems GmbH; Hamburg; Vor Ort; EUR 39.000 - 61.000; Teilzeit

Benefits dieser Stelle

Open-ended framework contract

Innovative working environment

Professional development opportunities

Zusammenfassung

A leading education provider in Germany is seeking an external freelance lecturer for the 'Big Data & Analytics' course in Hamburg. This position involves teaching responsibilities that require relevant professional experience and a Master's degree. Applicants must be located near Hamburg for on-site or hybrid lectures. The role offers a dynamic work environment and the chance to engage with international students. Interested candidates can apply via email or through LinkedIn.

Qualifikationen

• Relevant professional experience in Computer Science/Data Science.
• Must reside in or near Hamburg for on-site or hybrid lectures.
• Teaching experience at universities preferred.
• Willingness to work in a on-site or hybrid setup in Hamburg, Germany.

Aufgaben

• Teach Big Data & Analytics courses to students.
• Prepare and evaluate certificates of achievement.
• Address data management challenges and solutions.
• Introduce Hadoop and Hadoop ecosystem, data governance concepts and BI topics.

Kenntnisse

Teamwork

Communication skills

Organizational skills

Communication

Organizational skills

International environments

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:

• Hypertext markup languages (HTML, HTML DOM, etc.)
• Definition of Big Data and applications
• Task of Big Data Management
• Data architecture and onthology
• 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 data bases)
• Introduction to Hadoop and the Hadoop eco system
• Methods for data analytics and data visualizationImplementation 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

Interested?

Then we look forward to hearing from you. Please send your application via e‑mail to: [e-mail] or apply via Personio or LinkedIn.

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.