Google BigQuery Jobs in Berlin

In this role, you will design scalable data pipelines with DBT and Fivetran, work on ELT workflows, model databases, and support stakeholders in resolving data-related challenges.

In this role, you will develop end-to-end machine learning pipelines in Vertex AI, implement GenAI features, and monitor models while ensuring governance and scalability.

In this role, you will take ownership of Data Ingestion solutions, ensuring quality and compliance in our data pipelines while collaborating closely with the analytics team and the legal department.

In this role, you will develop BI models and dashboards using Databricks and Metabase, ensuring data quality while collaborating with various stakeholders on KPI governance.

In this role, you will evolve the data platform and lead an experienced team, while building pipeline integrations with ERP systems and custom internal tools, including a master data management service.

In this role, you lead a small team, develop data pipelines, integrate ERP systems, and build internal tools for specific business needs, such as the master data management service for medical institutions.

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 assist the IT team in automating internal processes, building workflows, analyzing data from BigQuery, and evaluating new tools and system interfaces using REST APIs.

In this role, you will develop efficient backend systems, work on search algorithms and recommendation systems, and use technologies like NodeJS and Google BigQuery to create high-performance APIs.

In this role, you will develop robust data pipelines using Apache Beam and Airflow, automate CI/CD processes with GitHub Actions, and manage infrastructure with Terraform to ensure data availability for analytics.

In this role, you will develop scalable data pipelines, improve identity resolution through precise algorithms, and work on customer data quality using BigQuery and cloud environments.

In this role, you will design robust data pipelines for shop performance analysis, develop automated reporting solutions, and enhance revenue attribution models while collaborating closely with various teams.

In this role, you will develop AI-driven applications, from requirements gathering through design to implementation and optimization, while working on integrating AI models into production systems.

In this role, you analyze data from recommendation systems, develop dashboards and tools, identify KPIs and optimization potential while collaborating closely with various departments.

In this role, you will develop BI solutions, lead fraud analytics, and create Looker dashboards to monitor key metrics and detect fraudulent behavior while collaborating with various teams.