When you come to work at Davidson, you won’t just be joining a group of 3,000 consultants in 6 countries and 2 continents, you’ll be joining “the” company named by its employees as Great Place To Work France and Europe for four years, as well as the largest B Corp in France.
“B Corps” form a community of companies that have decided that, rather than being the best in the world, they’ll be the best *for* the world.
Our growth is based on strong principles:

Deep respect for all our stakeholders: consultants, customers and suppliers, because although work can’t “buy happiness”, it can “cause unhappiness”. We’re therefore committed to listening, acting honestly and promoting equality (Women / Men but not only).
A minimum environmental footprint and a maximum societal footprint. This is why, aside from the assignments you’ll be working on, you’ll also have the chance to contribute to the projects Davidson supports: international solidarity assignments (with Planète Urgence), supporting students from disadvantaged backgrounds (with Article 1) and investing in start-ups that develop innovative solutions.
Adhocratic management based on implementing “horizontal company” and “tribal management” principles.

One important point about the latter: well-being at work is a luxury you need to have as a “solid” company. For the Davidson teams, this means marrying initiative, commitment and professionalism, as “without work, talent is just a dirty habit”. It drives us to recruit components that are better than we are. In a classic hierarchical organisation, it can be beneficial to have an army of people who work for you. In an adhocracy, that doesn’t work.

Mission / Profil

You will be involved in Big Data projects run by Davidson for its customers in varied sectors (Gaming, Wealth, Telecoms, Finance, etc.), working as a developer on existing or developing platforms.

Your responsibilities will include:

  • Monitoring technology developments
  • Creating software architectures for improving calculation and resource efficiency
  • Developing in Python (occasionally R), JS
  • Helping to encrypt solutions (poker planning) and prioritising (backlog)
  • Handling large volumes of data, challenging traditional calculation methods
  • Debugging, bug fixes
  • Providing support and advice to users
  • Delivering training and presentations (meetups)

 

Skills (pre-existing or to be acquired)

  • You will have a postgraduate degree and some initial successful dev experience
  • Conversant with Python, R or Java, Scala, Hadoop technologies and environments
  • Some initial successful experience in IT/Big Data development
  • Agile experience

 

Talents/soft skills

  • Thorough
  • Creative
  • Communication skills
  • Team player
  • English language

Description of the segment's business

Business Data

content.expertise.image.alt

Today, data is a strategic asset that is central to the digital transformation of businesses and acts as the bedrock for creating multiple new services. Davidson’s unique data expertise enables it to deliver an end-to-end service for its customers, whether they’re data-driven or are “simply” looking to get the most out of their data.

Our business lines:

  1. Support for implementing a data strategy
  2. Big data architecture
  3. Data visualisation
  4. Data science

Our technical environment:

  • Infrastructures & Storage: Cloud (AWS, Azure, Google Cloud Platform), Cloudera,
  • MapReduce, Hortonworks, mongoDB, Hadoop, Cassandra, Splunk, Redis, CouchDB
  • Data-processing: Spark, Scala, Kafka, Logstach, Elasticsearch, Hive, Storm, Flink
  • Analytics: R, Python, SPSS&SAS, TensorFlow, Sickit learn
  • Dataviz: grafana, dataiku, kibana, Tableau, Qlik, JS proprietary tool
  • DevOps & containers: Docker, puppet, Jenkins, Sonar, Openshift, Kubernetes, Ansible
  • Fields: machine learning, deep learning
Application

Follow your dreams, they know the way.

Please fill in this required field
Please fill in this required field
Please fill in this required field
Please fill in this required field
Please fill in this required field

Mobility

Veuillez choisir une option de livraison :
Please choose at least one value