Google BigQuery Jobs in Germany

In this role, you will develop models for customer analysis and accompany digital products from conception to implementation, while applying modern data science tools and contributing to business processes.

In this position, you will develop models to analyze customer behavior in the fashion & lifestyle sector, work with databases in SQL and Python, utilize cloud services, and accompany projects from concept to implementation.

In this position, you will develop innovative data models in the Fashion & Lifestyle sector, drive analyses forward, and optimize business processes with Data Science tools to enhance customer experience.

In this position, you will develop comparative models, conduct data analyses, and implement innovative Data Science tools in projects while collaborating closely with your team and internal partners.

In this role, you will develop analytical models in the Fashion & Lifestyle sector, drive business processes, and work on digital products to strengthen customer relationships sustainably.

In this role, you will develop ETL/ELT pipelines for data integration, optimize data models for self-service analytics, and work on enhancing a cloud data platform in close collaboration with stakeholders.

In this role, you will develop scalable data and AI architectures, lead transformation projects, and design data-driven business processes through innovative data strategies and governance models.

In this role, you will design robust data pipelines using Apache Kafka, build CDC-based ingestion pipelines, and ensure data quality to support real-time decision-making in logistics.

In this role, you develop the data foundation for AI products, shaping the design of data pipelines and making architecture decisions within the Data Stack using tools like dbt, Airflow, and BigQuery.

In this role, you will manage data services in Google Cloud, develop efficient pipelines, and optimize their performance and costs. You will collaborate with the team on complex challenges using technologies like Apache Airflow and BigQuery.

In this role, you will develop a cutting-edge search engine using Node.js and TypeScript, manage extensive data in Google BigQuery, and optimize high-traffic APIs to enhance performance.

In this role, you will develop robust data pipelines using Python and SQL for a data warehouse, lead an agile engineering team, and continuously optimize processes and architectures in data analytics.

In this role, you build ETL pipelines, ensure data quality, develop scripts in Python or R, and create dashboards to enable data-driven decisions for various teams.

In this role, you will take ownership of the entire data pipeline, from data ingestion and modeling in dbt to creating dashboards in Looker, delivering actionable insights for internal teams and external stakeholders.

In this position, you will develop scalable data models, optimize event tracking with Google Analytics 4, and support reporting by creating trusted data sources to enable informed business decisions.