Pyspark Jobs in Germany

In this role, you will be responsible for integrating data sources into the Data Hub via Change Data Capture and Custom Connectors, while standardizing and automating integration processes and ensuring security and compliance.

In this role, you develop AI solutions addressing complex business challenges by designing, experimenting, and deploying models into production using Azure, while mentoring junior data scientists.

In this role, you will develop data-driven algorithms and analyses for personalizing marketing efforts and creating value in the grocery retail sector while conducting comprehensive A/B testing.

In this role, you will develop forecasting and stochastic models using Machine Learning, optimize processes, and create analysis tools while collaborating with cross-functional teams.

In this job, you will develop a scalable data platform, implement data products, and configure new tools, particularly in Databricks, to effectively execute data engineering and analytics.

In this role, you will develop machine learning models, implement Generative and Agentic AI solutions, and perform statistical analyses to derive valuable insights for optimizing an e-commerce platform.

In this role, you will develop business intelligence products using Microsoft Fabric, Power BI, and Azure to support data-driven decisions and implement automated workflows and AI solutions.

You develop data-driven solutions on Azure, optimize ETL processes, model scalable data models, and create dashboards in Power BI while closely collaborating with business departments.

In this role, you will develop robust data pipelines, implement a scalable AWS cloud data platform, and perform data analyses to provide comprehensive insights for the company and drive innovations.

In this role, you develop Microsoft Fabric solutions, create management reports and Power BI dashboards, and automate data analyses using Python to support data-driven decision-making in the European consumer sector.

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 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.