644 python English-speaking jobs in Capital Region of Denmark

Science, Software Engineering, or related. 4+ years’ experience in full‑stack development (Node.js, Python

international payments Exposure to credit and SMB lending Exposure to accounting 3+ years of experience in Python

Proficiency in Python for data manipulation and automation (advantageous but not required).

Work with a wide range of solutions ranging from Excel VBA solutions to PowerBI reports, SQL or python ... Extensive experience with data in SQL, VBA and Python and potentially have knowledge of Microsoft reporting

Proficient in at least one common cloud native programming language (Java, Python, HCL, Rust, Ansible

Scripting skills (Python, Bash, PowerShell).

Skills in PowerShell, Python, or other scripting languages.

requirement, if you are comfortable working with the technologies used in the current Grazper stack: C++ / Python

Scripting skills with Matlab and/or Python.

Technical Skills : Proficiency in tools such as Power BI, SQL, Power Query, VBA, Python, or similar,

Experience with Python, in particular the data preprocessing, ETL pipelines and distributed systems.

Python experience, especially as applied to programming laboratory robots.

Proficiency in data analysis tools (e.g., R, Python, Stata, or similar).

Understanding of credit processes for both household and corporate customers Data analysis skills, preferably Python

with predictive modeling and an understanding of relational data structures and SQL Programming in Python

It is an advantage if you have: Skills in PowerShell, Python, or other scripting languages.

of high-plex spatial transcriptomics or single-cell/nuclei RNA sequencing or have experience in R or python

Requirements 8+ years of building solutions as a Data Engineer or similar fields 8+ years working in Python

.* Skilled in the following programming languages: C++, C, Python.* Experience with Domain Specific Languages

Mastery in Python, data structures, and algorithms, with the ability to contribute to production‐level