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External Lecturer on a fee basis (m/f/d) - Data Engineering SRH University Heidelberg Externe Honorartätigkeit

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Summary

External lecturer (fee basis) teaching a Data Engineering course at SRH University Heidelberg in English: weekly 180-minute sessions, project supervision, on-time grading, and coordination with academic staff. Core tech spans Linux VMs, Docker, SQL/NoSQL, Hadoop/Spark, and GCP services like Compute Engine and BigQuery.

Overview

External lecturer at SRH University Heidelberg teaches Data Engineering on a fee basis. You will deliver weekly sessions, supervise project work, and assess student performance within deadlines, while coordinating with academic staff. The role supports hands-on, project-based learning in a diverse campus environment and is conducted in English. It offers the chance to shape future data professionals within a research-informed teaching setup.

Verantwortungsbereiche
  • Deliver weekly teaching sessions (180 min each)
  • Supervise project work or student presentations
  • Evaluate student performance and submit grades on time
  • Participate in coordination meetings with academic staff
Zentrale Anforderungen
  • Master's or Ph.D. in Data Science, Computer Science, Mathematics, Business Analytics, or related field
  • Knowledge of Virtual Machines and Ubuntu/Linux
  • Hands-on experience with Docker and containerized environments
  • Strong understanding of SQL and NoSQL databases
  • Understanding of distributed systems and data processing (Hadoop and Apache Spark)
  • Basic to intermediate cloud computing knowledge; familiarity with GCP services (Compute Engine, Cloud Storage, BigQuery)
  • Understanding of cloud-based data pipelines, storage, networking, and IAM; experience deploying/managing data workloads in cloud
  • University-level teaching experience; preferably in English
  • Availability during the lecture period; able to commute to Heidelberg
  • Teaching and communication skills
  • Ability to work with students and coordinate with staff
  • Reliability and organizational skills
  • Virtual Machines (Ubuntu/Linux)
  • Docker
  • SQL

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

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