Apache Spark Jobs in Berlin

In this role, you will lead and develop an engineering team that delivers runtime enforcement outcomes in a complex environment while planning and executing multi-team initiatives and technical projects.

In this role, you will build personalized product recommendations for European customers by analyzing large retail datasets and implementing your models in AWS.

In this role, you implement data-driven solutions, ranging from data integration to BI reports and machine learning models, while closely collaborating with clients across various industries.

In this role, you will develop robust and scalable AI systems, collaborate closely with Data Scientists, optimize quality through metrics and testing, while using agile methods and exploring new technologies.

In this role, you will develop machine learning models to address complex business problems, analyze large datasets, optimize solutions within interdisciplinary teams, and communicate findings to diverse stakeholders.

In this role, you will develop high-performance infrastructures for deploying AI models and optimize CI/CD pipelines while closely collaborating with various teams to efficiently integrate innovative solutions.

In this role, you design and develop new ETL pipelines and data access services, take technical ownership of the platform, and lead the team to enhance the data landscape and infrastructure.

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 position, you will develop core features for Dataiku DSS, optimizing tools for data integration and visualization while creating AI functionalities and user dashboard experiences.

In this role, you will develop safety-critical components using Ada/SPARK 2014, applying formal methods, and integrate them into complex systems while supporting testing and bug analysis.

In this role, you will develop an innovative Feature Engineering Platform that simplifies the entire ML development process, from exploration to deployment and monitoring, by building APIs and user-friendly tools.

In this role, you will develop data models to optimize last-mile logistics, analyze large datasets, and innovate solutions using Machine Learning for millions of orders.

In this role, you will develop data-driven solutions, handle data integration and modeling, and conduct customer workshops while utilizing modern technologies like Azure, Databricks, and Apache Spark.

In this role, you will develop scalable data pipelines for AI/ML initiatives, collaborate closely with data scientists and engineers, and optimize ETL processes to enhance player experiences.

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.