Python Software Developer Analytics & Risk (m/f/d)

Your responsibilitiesDevelop, evolve, and maintain production software solutions with a focus on Python in the analytics and risk domainDesign and build Python and database components for analytical applicationsTake over, integrate, and operationalize analytical models from data science development (Python and SAS) into production system landscapesIntegrate and extend existing SAS code components and embed them in existing database and workflow processesDevelop, extend, and quality-assure data preparation and ETL processesContribute to technical solution design and further development of existing software and system architectureAnalyze, maintain, and optimize existing applications and technical componentsDevelop and integrate service-oriented software components (e.g. REST APIs)Work closely with data scientists, business units, and internal development teamsSupport technical architecture decisions and take technical ownership of subdomainsConduct code reviews and ensure high software qualityMonitor and evaluate new technologies and best practices in software engineering and analyticsYour profileSeveral years of professional experience in software development with a focus on PythonSolid experience developing production software solutions and operating and evolving themStrong SQL skills and experience building database-centric applications (e.g. Oracle, PostgreSQL, or comparable database systems)Experience developing data processing and ETL processesExperience integrating and operationalizing analytical models or data science solutionsKnowledge of SAS or willingness to quickly ramp up on existing SAS componentsSolid knowledge of modern software architectures and service-oriented systems (REST APIs)Experience in the technical design and delivery of complex software solutionsStrong analytical thinking and a structured, self-directed way of workingStrong communication and teamwork skillsExcellent German skills, written and spokenNice to have: experience in analytics, risk, or financial servicesNice to have: experience with container platforms (e.g. OpenShift or Kubernetes)Nice to have: requirements engineering skillsNice to have: MLOps and deployment processes for analytical applicationsNice to have: PL/SQL experienceNice to have: SAS Viya experienceNice to have: technical leadership or mentoring of development teamsNice to have: knowledge of modern AI and machine learning technologiesWhat we offerFreelancer project via cloudstrata focused on production-grade, quality-assured software solutions in analytics and risk. Expected outcome: analytical models successfully integrated into production system landscapes and evolved ETL processes and software architectures. Direct contact at cloudstrata and flexible collaboration.