• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments (AWS, Azure, GCP, Snowflake, or Databricks)
• Integrate and manage diverse datasets, ensuring accessibility and quality for analytics and machine learning
• Design and maintain cloud-native, high-performance data architectures…

• Build, optimize, and maintain scalable ETL/ELT pipelines using cloud platforms
• Integrate and manage diverse data sources, ensuring data quality, reliability, and accessibility for analytics and ML use cases
• Design and maintain cloud-native data architectures (Data Lake, Data Warehouse, Data Lakehouse)…

• Build, optimize, and maintain scalable ETL/ELT pipelines using cloud platforms
• Integrate and manage diverse data sources, ensuring data quality, reliability, and accessibility for analytics and ML use cases
• Design and maintain cloud-native data architectures (Data Lake, Data Warehouse, Data Lakehouse)…

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments (AWS, Azure, GCP, Snowflake, or Databricks)
• Integrate and manage diverse datasets, ensuring accessibility and quality for analytics and machine learning
• Design and maintain cloud-native, high-performance data architectures…

• Build, optimize, and maintain scalable ETL/ELT pipelines using cloud platforms
• Integrate and manage diverse data sources, ensuring data quality, reliability, and accessibility for analytics and ML use cases
• Design and maintain cloud-native data architectures (Data Lake, Data Warehouse, Data Lakehouse)…

• Build, optimize, and maintain scalable ETL/ELT pipelines using cloud platforms
• Integrate and manage diverse data sources, ensuring data quality, reliability, and accessibility for analytics and ML use cases
• Design and maintain cloud-native data architectures (Data Lake, Data Warehouse, Data Lakehouse)…

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments (AWS, Azure, GCP, Snowflake, or Databricks)
• Integrate and manage diverse datasets, ensuring accessibility and quality for analytics and machine learning
• Design and maintain cloud-native, high-performance data architectures…

• Build, optimize, and maintain scalable ETL/ELT pipelines in cloud environments (AWS, Azure, GCP, Snowflake, or Databricks)
• Integrate and manage diverse datasets, ensuring accessibility and quality for analytics and machine learning
• Design and maintain cloud-native, high-performance data architectures…

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence,…

📢 Join our team as an AI Solutions Engineer (m/ f/d)!📢

Description of the cluster:

The Process Platform & Automation (PPA) cluster drives Commerzbank’s process automation, workflow orchestration and intelligent automation capabilities, with a strong focus on Data Science-enabled solutions and agentic w…