Working hand to hand with other data actors you will:
- Interact with the stakeholders to understand and gather their needs (help transform ideas into technical requirements)
- Contribute to the data warehousing solution to bring the best KPI to the consumers
- Engineer and deploy data flows and data services using available solutions or construct your own
- Interact with other international data team
- Deliver solution to enhance the data availability over the company
- Once deployed you deliver support : follow usage, ensure maintenance, governance, optimization and legacy
- Autonomously plan and respond to the business demand.
- Build automated data flows.
- Create automated data services for various needs.
- Support and develop data infrastructure
- Document your code and your work
- Interprete business need and transform it into a technical solution
- Collaborate with business actors for the implementation of solutions.
- Analyze large amounts of data to optimize technical solutions
- Be data driven and promote changes to business processes
- You come from a technical background : math, physics, computer science, engineering…
- Proficient in Python (write your own code and ability to read other people’s code)
- Very good skills at SQL
- Good grasp of data structures
- Experience working with github
- Rest API experience
- You are a doer: you realise by yourself and take the initiative.
- You see the global picture of a project: you are able to split the tasks.
- English B2 level
- You are a team-player
- You are curious and a fast learner
- Communication skills: ability to simplify and formalize.
Would be a big plus:
- Experience with cloud data/data processing services (Amazon, Google, Yandex)
- Other language experience (Java, Golang etc)
- Big data framework : Dask, Spark, Rapids
- European management
- Young ambitious team with a friendly atmosphere
- Competitive salary + monthly bonus max. 20% after 3 months of trial period
- Medical and life insurance
- Opportunity to become a shareholder
- Sport during lunchtime