126 python English-speaking jobs in Hesse

management) Affinity for capital markets and various financial instruments Proven programming skills in Python

Financial Mathematics or equivalent First relevant working experience Very good programming skills in Python

approaches, including M&S tools, population PK software, QSP platforms, or programming environments such as Python

Professional experience in at least two of the following domains: Software Development (proficient in Java, Python

reporting Must-have Hands-on experience with ERP and analytics tools such as SAP, Power BI, SAP BW, SAC, Python

manually auditing source code to find security issues or programming skills in one or more of: Java, .NET, Python

documentation and support for regulatory submissionsStrong programming skills in relevant languages (e.g., Python

practicesExperience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)Proficiency in Python

writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python

reportingMust-have Hands-on experience with ERP and analytics tools such as SAP, Power BI, SAP BW, SAC, Python

environmentYou have gained hands-on experience with analytical tools and programming languages such as SQL, R, Python

Strong scripting/automation skills (Python, REST APIs, IaC) and comfort with detection-as-code, CI/CD

operations andproduction realitiesStrong technical affinity with practical coding experience (e.g., Python

security principlesExperience with automation tools and scripting (e.g., Saltstack, Terraform, PowerShell, Python

Ubuntu)Experience in OpenStack administrationExperience in at least one scripting language (Ansible, Python

operational procedures and/or configuration data;Knowledge of scripting languages and databases (e.g., Perl, Python

integrating multiple information and data sources into a unified AI solutionStrong software engineering and Python

interconnects (cache/scratchpad, DMA, coherency, NoC, QoS)Hands-on capability with modeling/tools (e.g., Python

administration (on-prem and office 365)Demonstrated history in Infrastructure Automation (Ansible, Saltstack, Python

Scripting proficiency (Python, Tcl, or Bash) for testbench automation.