Python Developer

Job description

OrbitalAds is looking for a seasoned Backend Developer with experience in Python, not afraid of using or learning how to use new technologies wanting to help implement and learn about big-data pipelines.

What do we do?

At OrbitalAds we’re automating online marketing. We design technology with the help of Artificial Intelligence & Natural Language Processing which we apply to semantic targeting in Google Ads. You can learn more about this in


  • Developing and maintaining microservices and cloud functions with Python/Flask (mostly, we also use other languages for problems that need them).
  • Designing architectural solutions inside Google Cloud Platform, products to move and process large amounts of data.
  • Developing automatization scripts, making systems that make use on AI and NLP.
  • Helping improve our Continuous Deployment process

What we’re offering

  • Indefinite contract. Salary will depend on previous experience 

  • Offices in the city center of Madrid (Gran Vía)

  • Flexible retribution for medical care, food, transportation..

  • Technical training and english classes.


What we need

Knowledge in Python and Flask or any other web microframework that will help us solve daily problems and follow our product roadmap.

Someone eager to work with the Google Cloud Platform ecosystem, not afraid of the the command line or operating inside the infrastructure.

Someone proactive able to solve technical problems.

You should have at least a basic understanding of Online Marketing. If not, you should at least have interest in acquiring this knowledge. Experience with the Google Adwords API would be a huge plus.

Interested in best practices? testing? continuous deployment? big data? come to work with us now! ;-)

If you are interested in processing large volumes of data, growing an evolving architecture, being part of a fast growing startup, it’s quite probable that OrbitalAds will interest you.


  • Python >= 3.6

  • Google Ads API

  • Docker / Docker compose

  • Google Cloud Platform:

    • Cloud Functions / App Engine Flexible environment / Computer Engine / Kubernetes

    • BigQuery, Datastore, BigTable

    • PubSub

    • Cloud Builder

    • Composer / Apache AirFlow

  • GraphQL