Medeina · Role guides · Data Engineer
Data Engineer: skills & learning path
Medeina maps what a Data Engineer role typically needs, then helps you plan books, courses, certifications, and interview prep against your own skills or CV.
Treat the list below as the usual baseline for this title. Seniority changes how deep each skill needs to go, not the names.
Typical requirements
Ranked by how often they show up for this kind of role.
- SQL — importance 95%
- Python — importance 90%
- Apache Spark — importance 70%
- Airflow — importance 65%
- AWS — importance 60%
- Kafka — importance 55%
- Docker — importance 50%
Questions people ask
What skills does a Data Engineer need?
The skills that usually matter for a Data Engineer are SQL, Python, Apache Spark, Airflow, AWS, Kafka, and Docker.
How do I learn Data Engineer skills?
Compare SQL, Python, Apache Spark, Airflow, AWS, Kafka, and Docker with your CV on Medeina, then follow the books, courses, and interview prep it lines up for the gaps.