Airflow Jobs in Hamburg

In this role, you will develop scalable data applications and APIs on AWS, leverage tools like Airflow and QuickSight, and automate infrastructure processes to provide data efficiently and securely across the company.

In this role, you will design scalable batch pipelines, automate data flows using Python and SQL, and ensure data quality and security on Statista's data platform.

In this role, you will design scalable data models using Data Vault 2.0 on a cloud platform and optimize BigQuery pipelines while defining standards and advancing data architecture projects.

In this role, you will develop intelligent product stream sorting using NodeJS and TypeScript, manage large data sets with Google BigQuery, and ensure integration into BI systems.

In this role, you will develop scalable ETL/ELT processes and data pipelines on Databricks in the Azure Cloud, create Lakehouse architectures, and collaborate closely with Data Scientists and Analysts.

In this role, you will develop a cloud-based data platform, maintain data pipelines using tools like Airflow and dbt, and ensure data quality and governance meet compliance standards.

In this role, you will develop and implement automation and integration solutions using n8n and Spring Boot. You will work on stable applications, migrate existing systems, and integrate REST APIs in large enterprise environments.

Understand requirements and advise customers: In collaboration with the specialist departments, you will develop concrete requirements for the data pipelines and advise our customers on best practices and Snowflake data engineering features (such as...