Pyspark Jobs in Germany

In this role, you will develop scalable data pipelines in Microsoft Fabric and implement ETL/ELT processes using PySpark and SQL to provide high-quality data for analytics and BI applications.

In this role, you will develop standards and templates for the data management platform, design secure data products, and advise teams on efficiently implementing data solutions with Databricks and Azure DevOps.

In this role, you will develop quantitative rating and risk models for credit management, conduct model calibrations, and optimize existing procedures for model monitoring and validation.

In this role, you will develop scalable recommendations, optimize ML pipelines with Apache Airflow, and implement reliable ML models on AWS to enhance the shopping experience for millions of users.

In this position, you design scalable ETL/ELT processes on Databricks in Azure, model data structures, and optimize data flows while closely collaborating with data scientists and analysts.

In this role, you will develop scalable data infrastructures on AWS and Kubernetes, implement streaming technologies such as Kafka, and manage the entire lifecycle of data features to enhance data platform efficiency.

In this role, you will architect cloud-native platform components and automate infrastructure while making technical decisions to optimize data pipelines and design scalable solutions.

In this role, you will advise clients on building modern data architectures using Microsoft Fabric, developing performant data pipelines and analytics solutions to ensure data quality and compliance.

In this role, you will shape the data architecture, implement Medallion architectures, develop data integration and transformation pipelines, and coach BI developers.

In this role, you will analyze complex datasets, develop statistical models and machine learning solutions to drive innovative approaches in credit risk, fraud detection, and customer behavior.

In this role, you will develop innovative solutions through the analysis of data sources, particularly IIoT sensor data. You will design and implement models for production systems and collaborate closely with various teams.

In this role, you develop backend services and data workflows for processing large datasets, working with Java and Spring Boot in a cloud-native environment while actively contributing to architecture and quality assurance.

In this role, you will develop complex Power BI reports and dashboards, build Semantic Models, optimize report performance, and utilize modern tools like Microsoft Fabric and LLMs for data analysis.

In this role, you will develop robust data pipelines using Python and Apache Spark, transforming data for SaaS products while optimizing the entire ETL process with a focus on data quality and cost.

In this role, you design data pipelines for medication and clinical data using Python, FastAPI, and Spark, optimize ETL processes, and collaborate closely with Product Management and AI Engineers on innovative data products.