Python Jobs in Berlin

In this role, you design data architectures and develop AI applications on Azure and Databricks, transition ML models into production solutions, and ensure agile CI/CD pipelines.

In this role, you will take ownership of the Databricks lakehouse, modeling trusted datasets for finance, sales, and logistics while building data pipelines and implementing monitoring systems.

In this role, you will take full ownership of frontend systems, building robust interfaces with React and Next.js while leading your team through efficient project planning and execution. You will mentor developers and proactively identify technical risks.

In this role, you analyze financial data, create valuable insights, and coordinate workshops to gather business requirements in the Business Intelligence area.

In this role, you develop data pipelines and modern data platforms using Databricks, optimize ETL and ELT processes, and integrate diverse data sources using Python, SQL, and Apache Spark.

In this role, you will develop modern web applications using React and TypeScript, as well as backend solutions in C#, Java, or PHP, closely collaborating with product management to enhance user experience.

In this role, you design and implement D&A architectures, integrate data sources and ETL processes, and optimize complex data landscapes for efficient analysis workflows.

In this role, you will develop automated data models and analyses within People Analytics, using SQL, dbt, and Python to create reliable data products for key decision makers and drive data engineering forward.

In this role, you will develop scalable backend services using Python and FastAPI, design GenAI features, and assess architectural decisions to create effective solutions for investors.

In this role, you will develop scalable APIs and high-traffic services to validate and enrich product content, collaborating closely with cross-functional teams to ensure quality throughout the entire content lifecycle.

In this role, you will develop reliable big data platforms, optimize data pipelines using Spark and Scala, and implement cloud solutions with Docker and Kubernetes in the AWS environment.

In this role, you will develop scalable data pipelines and integrations to ensure AI solutions operate on high-quality, trusted data with robust access and governance structures.

In this role, you identify security risks, conduct assessments, and develop solutions to ensure secure applications while implementing security practices within the development team.

In this role, you will be responsible for building the Secure SDLC, conducting threat modeling, developing IAM concepts, and managing vulnerabilities within CI/CD pipelines.

In this role, you analyze data to support product development, build dashboards using BI tools, and establish best practices for data usage while proactively deriving insights for product improvement.