Google BigQuery Jobs in Germany

In this role, you will develop modern data architectures on Google Cloud Platform, build efficient ETL/ELT processes, implement real-time data processing, and optimize BigQuery queries for various data sources.

In this role, you will design robust infrastructures for processing geospatial data, oversee cloud environments in GCP, and support data pipelines while guiding the team in design and architecture.

In this role, you work with complex datasets in Google Cloud Platform, developing high-performance analytical models with BigQuery while ensuring seamless data flows between legacy ERP systems and modern cloud environments.

In this role, you build the data foundation and analyze fragrance fillings while managing the analytics stack and providing actionable metrics and forecasts for the company.

In this role, you build robust data pipelines using Python and SQL, lead an agile engineering team, and optimize our cloud-native data platform for effective decision-making.

In this role, you develop robust data pipelines in Python and SQL for a Data Warehouse, lead an agile team, and ensure product quality during architecture and implementation.

In this role, you design enterprise-wide analytics platforms, create scalable data visualizations, optimize data pipelines, and implement Tableau environments.

In this role, you will develop machine learning models and data-driven solutions, overseeing the entire lifecycle on Google Cloud Platform, collaborating closely with departments to implement actionable insights.

In this role, you design and implement efficient data models and ETL/ELT pipelines, optimize the performance of the Big Data platform, and integrate innovative AI solutions.

In this role, you advise clients on measurement strategies, design tracking architectures, and implement setups with Google Tag Manager and server-side GTM, while actively integrating AI into the tracking workflow.

In the apprenticeship, you will learn data analysis and process optimization, work with SQL and Python, analyze large datasets, and support the development of digital solutions and business intelligence.

In this role, you design database-driven controlling solutions, automate processes using Google AppScripts, and develop insightful dashboards for analyzing production and financial data.

In this role, you will develop full-stack features using PHP/Laravel APIs and React, lead technical design, and ensure production stability through comprehensive testing and monitoring.

In this role, you will manage the data platform using Databricks, develop pipelines and catalogs, optimize the cloud infrastructure, and ensure the security and performance of data applications.

In this role, you will develop reliable analytics datasets, optimize ETL processes in Python on GCP, and support the Supply team through monitoring, documentation, and mentoring junior analysts.