Azure Data Lake Job in Germany

In this role, you will develop scalable data pipelines using Azure Data Factory, PySpark, and Python, implement ETL processes, and maintain the data warehouse on Microsoft Fabric while collaborating closely with business departments.

In this role, you will develop scalable data pipelines and optimize cloud-based data platforms while designing robust data architectures for mobility-related use cases.

In this role, you develop ETL/ELT pipelines and optimize data infrastructures in Azure Cloud, handle data integration, and prepare data for AI applications.

In this role, you will further develop the AI strategy, lead an interdisciplinary team, and implement complex projects in multi-cloud environments using modern technologies like Python, Kafka, and PostgreSQL.

In this role, you design AI and machine learning solutions using Azure services, integrate predictive models into applications, support data pipelines, and automate model management through CI/CD practices.

In this role, you will design scalable AI solutions using Azure, build data pipelines, and integrate predictive models into enterprise applications while ensuring data governance and security.

In this role, you will develop scalable AI and ML solutions using Azure services, integrate predictive models into applications, and optimize workflows through agile collaboration.

In this role, you will develop robust ETL pipelines using Python and SQL, integrate new data sources, optimize cloud infrastructure, and closely collaborate with other teams on the evolution of the Data & Analytics Platform.

In this role, you develop ETL processes using SSIS, work on creating Power BI reports, and optimize data models while also integrating ML solutions using Azure services.

In this role, you develop data warehouse and BI solutions, optimize ETL processes, and program databases. You work on data models, perform ad-hoc analyses, and implement business requirements.

In this role, you will develop ETL processes with SSIS and SSAS, optimize Tabular models for the cloud, and create Power BI reports while working on ML solutions with AI services and ensuring data quality.

In this role, you develop effective data pipelines using Microsoft Fabric, process large datasets from various sources, and optimize performance in the Lakehouse environment.

In this role, you are responsible for data ingestion and processing in Microsoft Fabric, optimizing data pipelines, migrating Power BI reports, and monitoring data architectures.

In this role, you will design the architecture for AI/ML solutions on Azure, collaborate closely with clients, lead technical teams, and establish MLOps best practices to implement innovative AI projects.