toggle menu
Offre d'emploi 956

Python Developer - Advanced


A propos de Talan

Passionate about digtal, data, IoT or AI and willing to join a dynamic and ambitious team on a human scale?

For more than 15 years, we have been advising companies and administrations and supporting them in the implementation of their transformation projects in Brussels and abroad.

To do so, we rely both on technological leverage and on the strength of our DNA based on collective intelligence, agility and entrepreneurial spirit.

With a presence on five continents and more than 4,000 employees, our goal is to reach more than a €1 billion revenue by 2024. Innovation is at the heart of our development and we are involved in areas linked to the technological changes of major groups, such as Big Data, IoT, Blockchain and Artificial Intelligence.

Our values & playfields:

  • Intelligence collective
  • Agility
  • Entrepreneurship /Intrapreneurship
  • Promote diversity/mixity (Support to the Fondation femmes@Numerique...)
  • Commitment (employees, partners, schools, associations...)
  • Respect for human beings and quality of life at work
  • Open-mindedness and inclusiveness

Together, let’s build Talan’s future.

The purpose of the service is to have an additional developer join the team of python developers who maintain and improve the existing codebase. There is a high demand for adding new features to our internal business applications as well as for extending existing features. The applications are all developed in-house and written in Python using Redis, Celery, Flask and Flask-Admin, SQL-Alchemy, Pandas, PostgreSQL, TimescaleDB and are hosted on AWS. Please note that the team is not doing any data science.

The main activities are:

  • Maintain and improve the applications of the team
  • Support design and troubleshooting efforts
  • Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.
  • Develop software solutions by studying information needs, conferring with users, and studying systems flow, data usage, and work processes.
  • Promote technical growth, making recommendations on software.