Vacancy available: BelfortStrasbourgBoulogne-BillancourtHoeilaartBordeaux
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Joining Davidson not only means joining a group of 3,000 consultants in 6 countries and 2 continents, but also joining a company that has been voted a Great Place To Work France and Europe by its employees for no less than 4 years, as well as one of the largest B Corps in France, named Best in the World in the “employees” category in 2022! (“B Corps” form a community of companies that have decided not to be the best in the world but the best FOR the world).
Because our development is based on strong principles:
- Deep respect for all our stakeholders: consultants, customers and suppliers. Because if work “can’t buy you happiness”, it can however cause unhappiness. Therefore, we are committed to listening and acting honestly.
- Equal opportunities in the processing of our applications and in the career management of our employees. We believe in a workplace where gender equality, inclusion and diversity are the norm.
- A minimal environmental impact and a maximum societal impact. That’s why, beyond the work you’ll be carrying out, you’ll also be able to contribute to projects that Davidson supports: international solidarity work (with Planète Urgence), volunteering with charities (each Davidsonian has 3 days a year to work with them), supporting students from underprivileged backgrounds (with Article 1), investing in startups developing innovative solutions, collective and individual actions to reduce our carbon footprint, etc.
- Adhocratic management based on the implementation of the principles of “horizontal company” and “tribal management”. One important detail on this last point: well-being at work is a luxury that we must be able to grant ourselves by being a “solid” company. For Davidsonians, this means combining initiative, commitment and professionalism. Because “talent without work is nothing”. And it encourages us to recruit .. who are better than us…
We encourage applications from people with disabilities, and we are committed to meeting their specific needs in the best possible way.
Mission / Profil
You will be working in Davidson’s Big Data & Data Science unit. This team’s job is to build architectures for collecting and interpreting data! The work spans a very wide range of sectors and customers: from IoT startups to large audiovisual groups, etc.
Your work will include the following:
- Conducting functional analyses to capture customer needs
- Assisting project teams in designing data models
- Identifying value creation strategies that exceed customer expectations
- Designing solutions (Data Integration, ETL, Data Warehouses), indicators and dashboards
- Organising and preparing for user acceptance processes
- Implementing scale-up processes
Skills (pre-existing or to be acquired)
- You will have a postgraduate degree and some initial successful experience in the BI sector
- You know that SQL isn’t pronounced “ess-kyew-ell”
- You’re fully conversant with an ETL process (SSIS, Talend, Datastage, Informatica) and a business intelligence solution (PowerBI, Tableau, Qlik, etc.), or, failing that, a reporting tool (BO, Cognos, Microstrategy)
- And, dare we say it, you also have experience with mega-Big Data
Talents/soft skills
- Excellent interpersonal skills
- Analytical ability
- Curious
- Thorough
- English language
Description of the segment's business
Business Data
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:
- Support for implementing a data strategy
- Big data architecture
- Data visualisation
- 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