Lead Data Engineer

## Company Description:
## Missions:
 
As a Data Engineer within a multidisciplinary team in a Cloud environment, your main responsibilities will be as follows:
• Design and develop solutions for collecting, organizing, storing and modeling data
• Guarantee access to different data sources and maintain data quality.
• Ensure that the company's data analysts and data scientists can easily access data and use it under optimal conditions
• Contribute, under the operational supervision of our architect, to best practices, standards, policies, methods, tools and procedures related to the Big Data Cluster
• Contribute to the establishment of a data policy in compliance with current regulations
• Ensure technological monitoring, particularly on the programming languages used to help advance projects
• Manage the technical design of applications, guarantee code quality, resolve technical issues and support the development of the team's skills.
• Lead the Data community, support the development of the team's skills and certifications, and contribute to the recruitment of Data talents.
• Contribute to commercial development by qualifying opportunities, designing technical solutions and participating in defenses and customer discussions.

## Job description:
### Profile:  
• Engineering degree or equivalent bac+5 level in computer science or data sciences
 
• Minimum 6 years of permanent experience in: • Development languages and engines: Spark, Kafka, Java, Scala, Python 
• Data visualization: Microsoft Power BI / Qlik
• Data Cloud environments: Azure / GCP / Snowflake / Databricks

• Mastery of Cloud services (AWS, Azure, GCP) and orchestration tools (Kubernetes, Docker).
• Ideally, experience in migration to Cloud environments, CI/CD, application development, as well as in the field of Data (Data Management, Data Governance, API Management).
• Ability to work in a team, to challenge customer needs and to propose pragmatic solutions, with a keen sense of teaching
 
A “Data Engineer” certification in a Cloud environment: Azure / GCP is a plus
 
 
## Some reasons to join us:
 
 
• Group benefits: benefit from a range of benefits such as the employee shareholding plan, co-optation bonuses, restaurant vouchers, as well as various social and cultural activities offered by the CSE. Parenthood support schemes, such as 90% part-time work during school holidays, are also available, as well as many other benefits from our collective agreements.
• Quality of life at work: benefit from a balance between professional and personal life, the possibility of teleworking (in France and internationally), as well as health and well-being systems (helpline, dedicated platform, etc.).
• Varied and innovative projects: take part in high-impact missions in sustainable and technological sectors (renewable energies, transport, AI, data, etc.), with development opportunities.
• Events and partnerships: participate in sector conferences and partner events (AWS, Snowflake, SAP, etc.). 

### Profile description:
### Profile:
 
• Engineering degree or equivalent bac+5 level in computer science or data sciences
 
• Minimum 6 years of experience in permanent contract in: • Development languages and engines: Spark, Kafka, Java, Scala, Python 
• Data visualization: Microsoft Power BI / Qlik
• Data Cloud environments: Azure / GCP / Snowflake / Databricks

• Mastery of Cloud services (AWS, Azure, GCP) and orchestration tools (Kubernetes, Docker).
• Ideally, experience in migration to Cloud environments, CI/CD, application development, as well as in the field of Data (Data Management, Data Governance, API Management).
• Ability to work in a team, to challenge customer needs and to propose pragmatic solutions, with a keen sense of teaching
 
A “Data Engineer” certification in a Cloud environment: Azure / GCP is a plus
 
 
## We offer: