Ingénieur de données senior – Paris
Voix Publique
Paris
Full-time
Ingénieur de données senior – Paris
CDI
Paris, France
Agriculture
Télétravail partiel possible
5 année(s) d'exp.
Publiée le 12/10/2023
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Senior Data Engineer
Location : Paris, France
Permanent contract, full-time position
Beginning : ASAP 2023
WHO WE ARE
PUR is a global leader in supply chain sustainability. We develop socio-environmental projects within the supply chains of our Corporate Partners. Through the economic and social empowerment of local communities and the introduction of sustainable development initiatives at the agricultural level, PUR seeks to address climate change, while regenerating and preserving the ecosystems upon which these supply chains depend. Many of PUR’s projects fall within the categories of insetting, regenerative agriculture, agroforestry, forest conservation and landscape restoration. PUR is a B Corp company which employs over 180 people with a presence in 10 countries.
www.pur.co
PUR is recruiting a Senior Data Engineer based in Paris to join our international Data/IT team.
PUR is scaling and to do so we are redesigning our Data stack and also building new data infrastructures. As Senior Data Engineer, you will be responsible for creating and building alongside our team the architecture to organize and connect data, orchestrate processes, create MLOps pipelines and guarantee data availability and quality to all the company.
The Data team is key to improve our impact, so you will join a purpose-driven, dynamic and growing team around the world.
Your main responsibilities will include :
Data quality & management
- Propose the architecture for our Data Pipeline, expanding on top of what’s already in use;
- Propose and improve data quality management rules & monitor data quality processes;
- Implement CI/ CD practices as part of the data pipeline – expect to provide examples of that during interviews should you move forward in the process;
- Maintain and improve data tools and understanding;
- Support infrastructure for Machine Learning Ops in the medium-long run.
Monitoring, reporting & technical management
- Organize developer huddles, break tasks, conduct agile ceremonies in the team;
- Institute best practices on Git and Git Workflows for the technical team;
- Feed reporting tools and manage monitoring tools;
- Lead data exchanges with clients and partners as the technical representative, supported by the PM.
Profil recherché
Our list of must-haves for this position:
- Experience having built complete data pipelines: building and connecting data warehouses or datalakes, ETLs, and orchestrators for multiple data types and applications, while also plugging these structures to Data Visualization solutions (at least 3 years in Data Engineering);
- 5+ years using agile frameworks in the industry and some experience leading dev huddles and agile ceremonies;
- Advanced skills in Python;
- Advanced skills in SQL;
- Test-Driven Development;
- Be based in Paris or willing to move, attend the office at least 3x a week;
- Comfortable in a multi-cultural environment and cross-functional collaboration;
- Dynamic, autonomous, with an interest in sustainability/climate issues;
- Fluency in English & French.
Our nice-to-haves for this position:
- Solid academic background related to computer science or technical related degree;
- Experience writing technical documents and guides for developers (previous work with JIRA / Confluence);
- An open git repository with some past projects;
- Data visualization, mainly with Power BI (current stack);
- Experience with Snowflake and DBT;
- Experience with cloud-based environment management, mainly in Azure (current stack);
- Experience with CI / CD for Data;
- Understanding of ML Ops and putting ML models in production for a few hundred people;
- Experience with monitoring tools such as New Relic, DataDog etc.
Recruitment process:
- HR interview
- Live technical case study
- Interview with the CDO + References check
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