321 python English-speaking jobs in Capital Region of Denmark

Strong Python, SQL, and Spark skills, with experience building and maintaining production data pipelines

proficient with a computer and comfortable in a Linux environment You have experience programming in Python

develop solutions for our large customers in the energy, telecom, and financial sectors using TypeScript, Python

Solid programming skills, preferably in Python and/or TypeScript.

position you should have basic knowledge of databases and server-side scripting languages such as PHP or Python

Solid programming skills, preferably in Python and/or TypeScript.

Develop digital tools using technologies such as Python, AI-assisted development tools, Microsoft Copilot

Hands‐on proficiency in Python, R, or SQL, and direct experience with large behavioural datasets (e.g ... the throughline, from validated instrument design through to automated, auditable analysis pipelines (Python

experience as a Data Analyst or similar role Proficient in SQL, Excel, and statistical analysis tools (R or Python

Proficiency in HTML/CSS, JavaScript, React or AngularJS Experience with server-side languages such as Python

primary tasks Develop software for embedded systems, desktop, or cloud solutions Program in C/C++, Python

Proficient in SQL, Python or R for data manipulation and analysis.

related field Proven experience as a Data Mining Analyst or similar role In-depth knowledge of SQL, Python

Strong proficiency in programming languages such as Python or R.

e.g., Snowflake, Azure Synapse), including Unity Catalog and data governance practices Strong SQL and Python

, physics, mathematics, computer science or another quantitative field 2-5 years writing production Python

Istio/Linkerd), ingress controllers, CRD design Strong Go (custom operators, platform controllers) and Python

Skills & capabilities Experience with Python and SQL Experience in our core technical stack: Azure, Databricks ... Responsibilities Design, build, and maintain core data pipelines and reusable frameworks using PySpark, Python

.* Proficiency in Python for data work (pipeline scripts, transformations, tooling).* Solid understanding

Business Analytics, Information Systems, or a related quantitative field Working proficiency in SQL, Python