Senior Pyspark Jobs in Germany

In this role, you will develop ingestion pipelines from various ERP systems and transformations for financial reports using Microsoft Fabric and SQL.

In this role, you will establish an Azure-based cloud infrastructure for a modern data platform, develop ELT data pipelines, and implement CI/CD pipelines using Databricks.

In this role, you design and operate data pipelines, transforming medical data into reliable datasets and ensuring data quality through robust ETL/ELT processes using Python and Spark.

In this role, you will iterate on credit risk models, optimize ML infrastructure, and integrate new data sources while collaborating closely with the engineering team and monitoring performance.

In this role, you will architect scalable recommender systems from feature engineering to production deployment, integrate AI capabilities, and optimize performance to deliver personalized experiences to millions of users.

In this role, you will analyze large datasets to develop advanced statistical models, support pre-sales activities, and optimize customer-specific solutions in credit risk and fraud detection.

In this role, you will develop scalable ETL/ELT processes and data pipelines on Databricks in the Azure Cloud, create Lakehouse architectures, and collaborate closely with Data Scientists and Analysts.

In this role, you analyze technical tenders and customer requirements, develop data analytics solutions using Python and SQL, and work on defined projects with modern cloud technologies.

In this role you develop predictive models in Python and PySpark, run PoCs, perform feature engineering, version models with Git, CI/CD and Model Registry, and operationalize solutions on AWS, Azure or GCP.

In this role, you analyze customer requirements, develop solutions for Data Analytics architectures using Python and SQL, and work on Data Engineering projects leveraging the latest cloud technologies.