Data Engineer

About the role

You will work in a consulting environment to develop scalable ETL/ELT data pipelines for batch and streaming processing. The role involves implementing data models, transforming data from various source systems, and supporting data analysis and machine learning pipelines. You will ensure quality through testing, documentation, and CI/CD practices.

Responsibilities

• Develop scalable ETL/ELT data pipelines for batch and streaming processing
• Implement data models using Kimball, Data Vault, or Lakehouse principles
• Transform, normalize, and denormalize data from various source systems
• Orchestrate data pipelines using Airflow or similar tools
• Support data analysis and machine learning pipelines
• Ensure quality through testing, documentation, and CI/CD

Required skills

• SQL
• Spark
• PySpark
• Python
• dbt
• Airflow
• Snowflake
• Databricks
• Data modeling

Benefits

• Flexible working hours
• Homeoffice
• Professional development programs
• Corporate benefits
• JobRad
• Urban Sports Club

About the Company

Haeger Consulting GmbH is a professional consulting firm that focuses on diverse customer projects, fostering a collaborative environment where employees can contribute their own ideas and take on responsibility.