Data Engineer & Machine Learning
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1.054 Ausschreibungen · gruppiert
- Gisma University of Applied Sciences
Professor (m/f/d) of Data Engineering
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Stuttgart
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Dortmund
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(Senior) Data Engineer (m/w/d), Infomotion GmbH
Hamburg + 1 weitere
Details ansehenVollansicht - Bischof + Klein GmbH & Co. KG
Senior Data Engineer (m/w/d)
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Data Engineer (m/w/d)
Leipzig
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Big Data Engineer
Standort offen
Details ansehenVollansicht - Cologne Intelligence GmbH
Senior Data Engineer (w/m/d) Cloud/Big Data
Frankfurt am Main
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data engineer for ML modeling teams
Standort offen
Details ansehenVollansicht - TEAG Thüringer Energie AG
Data Engineering Experte m/w/d
Erfurt
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Technical Data Engineering Specialist (m/w/d) Donauwörth
Donauwörth
Details ansehenVollansicht - Ministry of Justice
Head of Data Engineering
Standort offen
Details ansehenVollansicht - Enfint
data engineer for data warehouse solutions
Standort offen
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Senior Data Engineer (m/w/d) – Snowflake
München
Details ansehenVollansicht - KIPP Public Schools
Senior Manager, Data Engineering
Standort offen
Details ansehenVollansicht - Certifid, Inc
Data Engineer
Standort offen
Details ansehenVollansicht - Orizon GmbH
Technical Data Engineering Specialist (m/w/d) Donauwörth
Donauwörth
Details ansehenVollansicht - Remotely
(Senior) Data Engineer (m/w/d) - Remote
Standort offen
Details ansehenVollansicht - Ascory Bank
Senior Data Engineer (m/w/d)
Hamburg
Details ansehenVollansicht - Bischof+Klein
Senior Data Engineer (m/w/d)
Lengerich
Details ansehenVollansicht
StellenanzeigeVollansicht
Professor (m/f/d) of Data Engineering
Veröffentlicht am
- Arbeitsort
- 14467 Potsdam, Brandenburg, Deutschland
Stellenbeschreibung
- Module responsibility and teaching of Gisma Bachelor and Master programmes as well as examination, assessments, and student supervision.
- Active participation in programme development and quality assurance.
- Conception, creation and adaptation of teaching and learning materials.
- Initiate, expand and maintain cooperation with partners in industry and research.
- Participation in accreditation procedures as needed.
- Active participation in academic administration and committee work.
- Further development of a personal research profile, publication of results, and other public dissemination activities.
- Participation in student recruitment events.
Your Profile
- For an appointment you will need to fulfill all requirements according to Section 42 ff of the Brandenburg Higher Education Act (BbgHG). See the following link: §42 ff. BbgHG.
Among others the requirements for professorship are:
- Completed university studies.
- Proof of extraordinary qualification for scientific work in the form of an outstanding doctorate and/or outstanding scientific publications.
- Qualified professional experience in the field of the professorship, at least three years, two of them outside of a university after having obtained a master’s degree or equivalent.
- You are experienced in teaching in university classrooms, with blended and online approaches. Your students confirm in their evaluations an excellent quality of teaching and pedagogical aptitude.
- You have a high affinity for computer science topics.
- You have strong expertise in core areas of data engineering, with specialized knowledge in at least one subfield such as database systems, big data architectures, or data pipeline orchestration.
- You demonstrate practical proficiency with modern programming languages, frameworks, and state‑of‑the‑art tools and technologies commonly used in the industry, such as SQL, NoSQL, Apache Spark, Kafka, Airflow, or dbt.
- You are internationally experienced and fluent in English for teaching and research purposes.
- You possess research experience, ideally including the acquisition of funding.
- You will provide new innovative directions for research and teaching.
- Ideally, you are experienced in curriculum development and accreditation processes.
What we offer:
- A full‑time employment contract, including 18 weekly semester teaching hours.
- A versatile, innovative and international work environment in cooperation with renowned partner universities and cooperation partners.
- The opportunity for progression within a dynamic, entrepreneurial university environment.
- Senior responsibilities and creative freedom.
- The opportunity for personal and professional development.
Gisma is an equal opportunity employer. As such, we explicitly encourage applications from underrepresented groups, in particular disabled persons who meet the criteria will be given preference.