Google BigQuery Jobs in Germany

In this role, you will develop sustainable software solutions for complex Retail Media processes. You will design the software architecture, conceptualize, implement, and operate services focusing on reliability and performance.

In this role, you will develop data warehouse structures in Google BigQuery, optimize SQL transformations, and assist in migrating existing workloads from ClickHouse while establishing robust data pipelines and standards.

In this role, you will develop robust data pipelines and models, ensure data quality, and work on optimizing our data infrastructure for efficient analytics and reporting.

In this role, you design scalable data architectures for data migration and transformation, closely collaborate with SAP systems and modern cloud platforms like Azure and Snowflake, ensuring data quality and governance.

In this role, you will develop a powerful cloud architecture for CRM data on Google Cloud. You will optimize data pipelines, create dashboards for analytics, and collaborate closely with teams on data-driven decisions.

In this role, you will develop scalable data solutions and pipelines using SQL and Python to meet product and business goals, ensuring consistent data collection across the organization.

In this role, you will develop smart product sortings using NodeJS and TypeScript, manage extensive data with Google BigQuery, and enhance high-performance APIs for minimal latencies.

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 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 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 role, you will develop robust Hub-and-Spoke architectures in Looker, manage permissions, create LookML standards, optimize BigQuery data structures, and advance BI solutions through cross-functional collaboration.