Google BigQuery jobs in Germany

In this role, you develop machine learning models using Python and SQL to analyze transaction data, deploy them live, and continuously optimize their quality.

• Python
• SQL
• Google BigQuery

In this role, you will develop the search engine for ABOUT YOU, optimize relevance through entity resolution, and closely collaborate with teams on implementing scalable backend services.

• Vertex AI
• OpenSearch
• TypeScript
• Node.js
• Google BigQuery
• Elasticsearch
• +3

In this role, you will develop robust data architectures using dbt, actively advise clients on data strategy, and oversee the building and integration of data platforms and CI/CD processes.

• Google BigQuery
• Snowflake
• Google Cloud Platform
• Fabric
• AWS
• Azure
• +3
• +4

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.

• Pandas
• SQL
• Terraform
• Looker
• Power BI
• Vertex AI
• Python
• Pyspark
• Dataform
• +8
• +9

In this role, you will enhance web analytics capabilities, create tracking concepts, conduct implementations and testing, and analyze and visualize data for reporting and decision-making.

• Python
• Google Cloud Platform
• Google BigQuery
• SQL
• RESTful API
• SOAP
• +3
• +4

You will develop and optimize our data architecture, create data models and pipelines for event and business data, and ensure quality through testing and documentation to enable clean analytics.

• SQL
• Google BigQuery
• Kubernetes
• Python
• Airflow
• Terraform
• Git
• OpenTofu
• +4
• +5

You develop data models in dbt, enhance our data platform, and ensure that data is reliable and understandable through testing, documentation, and close collaboration with analysts and data engineers.

• SQL
• Git
• Python
• Google BigQuery

In this role, you will develop scalable dbt models and data pipelines in BigQuery to create reliable data models and consistent metrics for BI and AI tools while ensuring high data quality.

• SQL
• Google BigQuery
• Google Cloud Platform
• Python
• Tableau
• +2
• +3

In this role, you develop modern data warehouse and BI solutions in the Azure environment, design data models, and create efficient SQL queries and reporting services.

• Microsoft SQL
• Azure Synapse
• Azure Data Lake
• Google BigQuery
• Fabric
• Python
• Power BI
• Microsoft Power Apps
• Microsoft Power Automate
• Visual Studio
• +10
• +11

In this role, you will develop robust, maintainable batch pipelines in Python, optimize the Unified Data Layer for analytics and ML, and collaborate closely with data scientists and analysts.

• Apache Kafka
• Google BigQuery
• Python
• SQL
• Airflow
• Apache Flink
• +2
• +3

In this role, you will develop pipelines and data models, handle transformations, optimize workflows, and ensure data quality for analytical applications in a cloud environment.

• SQL
• Airflow
• Snowflake
• Python
• Google BigQuery
• Terraform
• Dagster
• Apache Iceberg
• Git
• AWS
• +6

In this role, you will develop customized tracking concepts, define event structures and KPIs, conduct data analyses, and create dashboards to visualize insights for our clients.

• Looker
• Google BigQuery
• Matomo
• SQL
• R
• Google Analytics
• Python
• +2
• +4

In this role, you will develop data analysis solutions, create SQL queries, optimize data pipelines from SAP to Google BigQuery, and build self-service reporting tools for the finance team.

• SAP
• Python
• SQL
• Looker
• Airflow
• Google BigQuery
• +2
• +3

In this role, you will develop data pipelines, optimize data quality, and ingest data into BigQuery while working with cloud platforms and Python to enhance business efficiency.

• SQL
• Airflow
• Kubernetes
• Python
• Google BigQuery
• Terraform
• Google Cloud Platform
• +3

In this role, you will develop backend services in Python for data processing and distribution, build CI/CD pipelines, and manage data models and their publication via a Kafka-based platform.

• Python
• Kubernetes
• Apache Kafka
• Amazon Redshift
• Google BigQuery
• Snowflake
• AWS
• Avro
• SQL
• +6