Google BigQuery Jobs in Austria

In this role, you analyze complex datasets, develop dashboards, and present actionable recommendations to promote data-driven decisions and support business strategies.

In this role, you will lead BI sales projects, work with modern data technologies, and serve as the contact person for stakeholders to develop innovative solutions for Red Bull and its subsidiaries.

In this role, you will develop the data infrastructure and build ETL/ELT pipelines to integrate product data, transaction data, and CRM insights into an analytics-ready environment while continuously optimizing it.

In this role, you optimize accounting automation processes, develop data-driven features, and analyze how automation can be effectively employed to enhance user experience.

In this role, you lead IT projects, coordinate stakeholders, manage budgets, and utilize modern data technologies like BW/4HANA and Snowflake to support data-driven decision-making in marketing.

In this role, you will develop scalable data visualizations using Looker and closely collaborate with Data Engineers to extend data sources while delivering quality data insights.

In this role, you will develop data integration solutions, optimize data flows using Azure Data Factory, create and maintain Power BI reports, and ensure compliance with data governance standards.

In this role, you build tracking and reporting solutions, analyze web data for product optimization, and support interdisciplinary teams in analytics projects and user behavior analysis.

In this role, you will develop scalable cloud solutions within a microservices architecture, work on CI/CD pipelines, and enhance our observability and telemetry systems in an agile team.

Design, develop, and maintain scalable data pipelines for real-time and batch processing Monitor, troubleshoot, and improve data infrastructure performance Collaborate and advise on our backend services to ensure seamless data delivery to customers Help...

In this role, you will develop powerful data pipelines and ETL/ELT processes using Databricks and Google BigQuery, work on cloud integrations, and foster data modeling in the team to solve complex data challenges.