Pyspark Jobs in Germany

In this role, you develop data pipelines, model data structures for data warehouses, implement quality checks, and closely collaborate with data scientists to provide reliable data for analysis and AI models.

In this role, you analyze production data, identify use cases for AI and big data, and implement automated reporting solutions using modern technologies like Palantir Foundry and TIBCO Spotfire.

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.

In this role, you design and operate data pipelines, transforming drug and clinical data into high-quality datasets while closely collaborating with teams on AI features and integrations.

In this role, you will develop a centralized Data Lakehouse and take responsibility for data preparation from ingestion to providing high-quality data sets in the Gold layer.

In this role, you develop comprehensive machine learning solutions by overseeing the entire ML lifecycle, from model development to deployment and monitoring while collaborating closely with your team.

In this internship, you will work on data analyses for braking systems, develop dashboards and pipeline projects in cloud services, and engage with artificial intelligence to implement digital processes.

In this role, you analyze large datasets, develop statistical models and ML solutions for credit risk and fraud detection, collaborate closely with teams, and drive pre-sales activities forward.

In this role, you will create data-driven solutions for aircraft configuration management by building data models, developing pipelines, and applying AI methods for optimization.

In this role, you develop ML models using Python and PySpark, handle complex data analyses, execute proof-of-concepts, and operationalize solutions to address various business challenges.

In this role, you develop data analytics solutions, lead projects, analyze customer requirements, and implement component-based architectures using Python and cloud technologies to address business challenges.

In this role, you will develop scalable ETL/ELT data pipelines for batch and streaming processing, utilize technologies like Spark and SQL, and support various client projects in data modeling.

In this role, you develop ML models for predicting churn and financial KPIs, operationalize them on Microsoft Fabric, and support business users with interactive data queries.