Apache Spark Jobs in Germany

In this role, you develop the technical vision for our data platform, shape the architecture, and build KPI dashboards while working with modern analytics tools and AI-assisted methods.

In this role, you will develop a powerful real-time data processing platform, build data pipelines for AdTech solutions, and optimize systems for high availability and low latency.

In this role, you will develop modern Data Lake architectures and implement data transformation processes and data models using Microsoft Azure technologies such as Databricks and Azure Data Factory.

In this role, you will develop ML models, build scalable data pipelines, and optimize our Data Lake while advancing MLOps strategies for integration into CI/CD systems and mentoring team members.

In this role, you will develop advanced ML models, build scalable ETL pipelines for sensor data, and optimize the data warehouse to ensure data quality and security.

In this role, you will develop robust data pipelines, design scalable transformation logic, and implement MLOps infrastructure for machine learning workflows while collaborating closely with data scientists.

In this role, you will analyze large datasets, develop and optimize data pipelines using R, Python, and SQL, apply machine learning techniques, and present results appropriately to stakeholders.

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 will design cloud-native applications and data platforms, work on ontology modeling, and build data products on Azure while leveraging agile methods and AI tools.

In this role, you will develop high-throughput database integrations and optimize real-time data replication while tackling complex challenges in distributed architectures.

In this role, you lead a team in developing and implementing advanced AI and data solutions, aggregating data from various sources, and optimizing analytics for critical mission-driven projects.

In this role, you will develop automated data ingestion pipelines, implement schema validations, and optimize data processing workflows for modern hybrid data platforms.

In this role, you will develop scalable solutions using Python or TypeScript, create data pipelines, and implement AI/ML models for various applications, ranging from fraud detection to cancer research.

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.

In this role, you develop modern data pipelines and platforms, support the implementation of cloud-based solutions, and act as a point of contact for technical and business queries within the Data Engineering team.