Data Engineer

Based in Paris, France

Permanent, full-time, local contract

Hybrid set up (2 days remote)

Starting date: asap 2025

PUR Description

PUR is a global, impact-focused B-Corp specializing in the development of environmental restoration projects, known as 'nature-based solutions' (NbS). Since 2008, we have been helping the world’s largest organizations meet their ESG targets, reduce their environmental footprint, and regenerate the ecosystems they depend on across complex supply chains. Having developed over 45 projects in more than 30 countries, PUR is recognized as both a pioneer and leader in a sector that is now at the forefront of global efforts to address the ongoing climate and biodiversity crisis.

At the heart of our mission is a commitment to fostering and operationalizing insetting strategies—interventions by companies within their own value chains designed to reduce GHG emissions while creating positive impacts for communities, landscapes, and ecosystems. By championing this insetting approach, we aim to create a holistic range of benefits that extend beyond ecological restoration, encompassing social and economic dimensions through enhanced agricultural yields and resilience to climate change-induced stresses, among others.

One of the distinctive features of our work is our ability to tailor projects to the specific needs of different regions and communities. By recognizing the unique characteristics of each ecosystem and the cultural context of the communities involved, we ensure our initiatives are contextually relevant and have a meaningful and sustainable impact. All our projects are developed in close collaboration with local actors, including cooperatives, governments, and corporations.Today, we employ 200 staff across 16 countries with key offices in Paris (HQ) and Toronto.

To accelerate PUR’s growth, the data team plays a crucial role. We're looking for a Data Engineer in Paris to help redesign our cloud-native data platform moving from batch-based systems to a real-time, event-driven architecture.

Your responsibilities will be, but not limited to :

Data quality & management :

• Continue to improve PUR’s data platform
• Improve data quality management rules & monitor data quality processes
• Maintain CI/CD practices
• Maintain and improve data tools and understanding in the team & company
• Support infrastructure for Machine Learning Ops in the medium-long run
• Creating and supporting monitoring and reporting systems.

Monitoring, reporting, analytics:

• Participate in developer huddles and agile ceremonies in the team.
• Be familiar with Git best practices and promote Git Workflows.
• Feed reporting tools and manage monitoring tools.