376 python English-speaking jobs in Capital Region of Denmark

Demonstrated proficiency in the statistical analysis and visualisation of omics biomarker data using R and/or Python

Who we’re looking for Technical proficiency: You're comfortable with scripting (Python, JavaScript

Hands-on experience developing in python, Databricks, dbt and SQL.

Tech Stack Our data stack consists of Airflow, Python, dlt, AWS (Redshift, Lambda, Kinesis, S3, Glue ... Technical Mastery: Strong proficiency in Python and SQL, with deep knowledge of modern data warehouse

Data visualization and app development in Python (using app frameworks like Streamlit and plotting tools ... Own, scope, prototype, and implement solutions including: Data model design (tabular & JSON) Python-based

Stack: TypeScript, Python, LangChain, etc Infra: AWS, Kubernetes, CI/CD for LLMs. ... Technical Mastery: Strong skills in TypeScript (our core) and/or Python , with hands-on experience

environments Technical experience with at least one object-oriented programming language; .NET/C# and Python

insights clearly Curiosity in data analytics and digitalisation Interest in tools like Excel, SQL, Python

Proficiency in SQL and Python for building complex ETL/ELT pipelines and data manipulation for ML.

Contribute to automation initiatives using Python, Ansible, APIs, model‑driven interfaces, and Git‑based ... security and automation, including firewalls, network segmentation, 802.1X, Zero Trust principles, Python

Beyond That, You’ll Bring Full-stack capability across TypeScript (React, Next.js, Vite) and Python

to connect technical work to a decision a client actually has to make Strong coding foundation in Python

Qualifications Strong scripting skills in Python, Bash, and YAML Hands‑on knowledge of containerization

Strong proficiency in Python and deep experience with PyTorch (or JAX/TensorFlow).

lending Exposure to accounting 3+ years of experience in the following data modelling tools Python

.* Have strong Python skills and experience working with SQL, Infrastructure as Code and CI/CD practices

Strong programming capabilities in Python (PySpark) and SQL, with a focus on building robust and maintainable

Proficiency in Python and SQL.

Strong programming skills in Python and/or TypeScript.

Python can translate complex quantitative concepts into clear business insights for diverse stakeholders