Lead Data Engineer
Lead 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, NGOs, 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 Lead 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 role:
Architect & build a scalable, cloud-native data platform ensuring reliability, security, and performance.
Develop & orchestrate real-time and batch pipelines, MLOps workflows, and infrastructure-as-code solutions.
Lead & mentor a team of three Data Engineers, fostering technical excellence.
Transform data into insights and applications that drive decision-making across the business - capacity to align technical and product roadmaps with Data and Ops Product Managers.
Your responsibilities will be, but not limited to :
Data quality & management :
Continue to improve Pur’s data platform, being able to expand on top of what’s already in use.
Propose and improve data quality management rules & monitor data quality processes Maintain and expand 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 Monitoring, reporting & technical management
Monitoring, reporting & technical management :
Organize developer huddles, break tasks, conduct agile ceremonies in the team.
Be familiar with Git best practices and promote Git Workflows for the team.
Feed reporting tools and manage monitoring tools.
Lead data exchanges with clients and partners as the technical representative, supported by the Operation Manager.
5+ years in Data Engineering, including 1+ year in a Lead role.
Proven experience building end-to-end data pipelines: data warehouses/lakes, ETLs, orchestration, and integration with visualization tools.
Strong expertise in Python & SQL for data processing and automation.
Hands-on experience with cloud platforms (preferably Azure), including deployment, monitoring, and security best practices.
Experience managing production services, including logging, monitoring, networking, and cost optimization.
Familiarity with Infrastructure as Code (preferably Pulumi) and containerization (Docker).
Experience with version control and CI/CD best practices (Gitflows).
Ability to navigate ambiguity and thrive in a fast-paced, evolving environment.
Strong sense of ownership, problem-solving, and critical thinking.
Fluent in English & French.
Passion for sustainability and climate impact is an asset.
Why Join PUR ?
inclusive team:
a range of diverse backgrounds and expertises: Geospatial specialists, Data engineers, Data Analysts, Software Engineers, Data Product Managers
meet also agroforestry experts, regenerative agriculture designers and farmers !
extensive range of interesting problems:
from the field to the cloud, from geospatial to innovation to AI to data pipelines to production applications
positive impact:
upheaving carbon sequestration with Nature-based Solutions: planting trees where it makes sense to capture carbon and promote sustainable agriculture
remote:
hybrid (eg 3d/week) if based in Paris
remote with 3d/month in Paris otherwise
Access great perks: Gymlib, Sustainable Mobility Pass, Training programs, PUR Academy and more!
Recruitment process :
1 hour HR interview in visio
1.5 hours technical visio interview with 2 Data Engineers
1 hour interview with the Chief Data Officer (office or visio) + References check
At PUR, we strive to build inclusive teams and an equitable workplace where our employees feel respected, supported, and empowered. As a global company operating across six continents, we recognize that diversity in the workplace is essential to achieving our mission.
We welcome applications from all qualified candidates regardless of age, race, gender, colour, religion, national origin, sexual orientation, gender identity, disability, or any other aspect that makes them unique.
PUR is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you require accommodation or consideration throughout the interview process, let us know, and we will do our best to support you.