Pyspark Jobs in Munich

In this role, you will develop scalable and integrated solutions for reserving systems, working on the architecture of applications that support central financial processes while leveraging your technical expertise in Microsoft Azure and .NET.

In this role, you develop automated ETL processes for Big Data and MLOps using Python, SQL, and Databricks. You ensure data quality and security while working in agile teams on innovative solutions.

In this role, you design Azure-based cloud platforms for Data and AI workloads, develop architecture blueprints, and ensure security, governance, and operational standards while collaborating closely with various teams.

In this role, you will enhance the Azure-based Global Data Platform, design ETL/ELT pipelines, and engage with LLM services and Data Mesh principles within interdisciplinary teams.

In this role, you will develop data processing pipelines for batch and real-time processing, implement Azure Functions, create Data Factory pipelines, and optimize ETL processes using PySpark and SQL in a modern cloud environment.

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.