Cloud Data Engineer | Data Integration & Analytics

Project overview

For challenging data and digitalization projects, we are looking for experienced Cloud Data Engineers to build modern data architectures and scalable data pipelines.

The focus is on the technical integration, processing, and provision of data for analytics and business applications.

Responsibilities

• Development of ETL and ELT pipelines
• Connection and integration of different data sources
• Building scalable cloud data architectures
• Modeling and transformation of large data volumes
• Optimization of existing data processes
• Automation of data workflows
• Ensuring data quality and performance
• Collaboration with data, BI, and cloud teams

Requirements

If you are interested and available, please send your CV in Word format to *@*.com as soon as possible.

Note: We operate as a personnel consultancy. None of the terms used should be discriminatory with regard to age or experience. We confirm that we will treat all applications confidentially.

• Several years of experience in data engineering
• Very good knowledge of SQL and Python
• Experience with cloud data platforms
• Good knowledge of Snowflake, BigQuery, or Redshift
• Experience with dbt, Airflow, or comparable technologies
• Knowledge of Spark or Kafka is an advantage
• Experience with data warehousing and data modeling
• Knowledge of AWS or Google Cloud
• Independent and structured way of working

Project details

• Start: ab sofort
• Duration: 6 Monate
• Remote: remote
• Location: Essen, Deutschland, DE
• Languages: German