1062 python English-speaking jobs in Denmark

Bring 5+ years of experience building and maintaining production-grade backend systems Experience with Python

Experience with Python or Node.js (Django experience is a plus).

Clear communicator who thrives in a collaborative environment Nice to have: Basic familiarity with Python

applications Iterating and diving deep into deployed products Current Stack: Typescript React Node.js Python

Proficiency in Python or R for data analysis. Experience with SQL and relational databases.

Qualifications Experience in data engineering for ML/AI, with strong skills in Python, SQL, and distributed

messaging systems and background processing (Azure Service Bus, Pub/Sub, RabbitMQ) Experience with Python

Containerization and Infrastructure as Code (IaC) Proficiency in automation and scripting (PowerShell or Python

Strong skills in Python, SQL, and cloud-based data platforms (Azure being the focus).

For smaller tasks, we are also using tools like Python and shell scripts.

Ideal Profile An Ideal Candidate Should Have Proven backend development experience: Python Direct experience

Knowledge of scripting languages such as Python, Perl, or Tcl. A background in ASIC or FPGA design.

you have competences within: C++ programming Object Oriented Design Git/GitExtensions Knowledge of Python

Familiarity with Python, Bash, or PowerShell for scripting and automation.

Experience with other relevant programming languages such as Python or C++ is considered a plus.

Experience with other relevant programming languages such as Python or C++ is considered a plus.

What You Bring Strong Python proficiency for data processing, backend services, and automation.

implementation for businesses ·       API integrations & AI tool setup ·       Custom AI solution development (Python

Ideally, you have some coding experience (e.g., Google Script, Python) and an eagerness to use it to ... manual spreadsheets by using the Treasury Management System (TMS) and your own coding skills (e.g., Python

Activate the community: Stand up training, playbooks, and internal communities (e.g., Python, KQL/ADX ... Data engineering & cloud analytics literacy (e.g., Python, SQL; modern data platforms; orchestration