Data Engineer – Schwerpunkt Programmierung & Datenpipelines*
Hybrid
Core
Building scalable ETL/ELT data pipelines for batch and streaming processing in a consulting environment for diverse clients.
Role type
Senior Data Engineer (Consulting)
Builds
Scalable data pipelines, data models, and supporting ML pipelines
Domain
Data Engineering / Consulting
Deliverable
production ML models
Required skills
SQL, Python, Spark/PySpark, Airflow, dbt, Data Modeling (Kimball, Data Vault, Lakehouse), CI/CD
Preferred skills
Snowflake, Databricks, Analytical thinking, Self-organization
Technologies
Spark, PySpark, Airflow, dbt, Snowflake, Databricks
Responsibilities
Develop scalable ETL/ELT pipelines for batch and streaming; Implement data models; Transform and normalize data from source systems; Orchestrate pipelines; Support ML pipelines; Ensure quality via testing and documentation.
Seniority
Senior, hands-on IC