Eelke van der Horst

Elisa C. Melissa F.

Also, data engineering bootcamps include rudimentary coding which might already be a good start for ontologists aiming to expand their skills, where full-blown software engineering bootcamps might be an overkill.

I think that data engineering skills like data wrangling, building ETL pipelines, data harmonization, data modeling, cloud deployment, scaling etc. are an ideal addition to ontology engineering skills when it comes to building and deploying knowledge graphs

Data engineering is not limited to the relational database world, being able to work with NoSQL databases (like triplestores, graphstores) is just as important. For instance, there's a NoSQL course as part of the Data Engineering curriculum at Coursera: https://www.coursera.org/learn/introduction-to-nosql-databases?specialization=ibm-data-engineer#syllabus

Maybe something for you Robert R.? https://www.thehyve.nl/jobs/data-modeling-expert-data-engineer

What about data engineering bootcamp?

https://lov.linkeddata.es/dataset/lov/

Not strictly for ontologies but also for (RDF) knowledge graphs in general: Gruff (from Allegrograph)

Hi Efstratios K., you might also want to look at the heuristics mentioned here for writing performant Sparql queries.