235 python English-speaking jobs in Berlin

have: experience with Data Vault 2.0 specifically (hubs, links, satellites, hash keys); knowledge in Python

Engineering & Tooling (Builder Mindset): Advanced proficiency in writing production-quality code (, Python

Bonus: Full-stack experience (especially Python/FastAPI) is a plus, but not required — this is a frontend-focused

MongoDB Experience in Azure Active Directory (Azure AD) Experience with Cloudflare WAF Good to have: Bash/Python

Terraform / Terramate Datadog, OpenTelemetry, Cursor, MCP, and agentic engineering workflows TypeScript, Python

large-scale data processing frameworks and tools (e.g., Hadoop, Spark, SQL) Strong programming skills in Python

Scripting experience, at least basic (needed for our servers) Desirable criteria Preferred Experience Python

skills, German is a plus Bonus points for: Experience with IaC (ideally Terraform) Experience Python

Data & Tech Native: Proficient with Google Workspace, comfortable working with SQL, Python, or BI tools

You are comfortable with alternative datasets and basic data tools (Python or SQL); fluency with semiconductor

Exposure to compliance audits (SOC 2 Type II, ISO 27001 certification cycles) Scripting ability (Bash, Python

GitHub Actions Backstage Cursor, MCP, and agentic engineering workflows TypeScript, Python

Python, Go, C#, JavaScript/TypeScript), with willingness to build small infrastructure-related applications

Remediation Proficiency: Deep hands-on proficiency in multiple modern programming languages (, Java, Python

Linux & scripting: Strong proficiency in Linux and Bash, plus a scripting language such as Python.

Background in Programming skill using such as Python, MATLAB, or C++, and familiarity with Linux/Unix

Python, Matlab, Origin)  What we offer: The position is limited to three years.

integration, including LLM APIs, agentic workflows, and production-grade AI services Hands-on experience with Python

Comfortable with carbon accounting models and quantitative analysis; proficiency in data analysis tools (R, Python

Expert in Python and familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow, Langfuse).