Lead Data Engineer

Paris, Île-de-France, France

PUR

PUR empowers companies to take responsibility for the impacts of their supply chains by implementing agricultural programs that achieve ecological goals.

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Lead Data Engineer

Based in Paris, France

Permanent and full-time contract

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.

Industry

PUR operates within the dynamic and rapidly evolving sector of environmental consultancy services and nature-based solutions markets. These markets are closely linked with the voluntary carbon markets (VCM) when NbS projects produce carbon credits that can be traded on the VCM. The NbS market has recently gained traction as society recognizes the invaluable services provided by nature and the need to preserve, restore, and harness these services to mitigate and adapt to environmental challenges. To be considered a nature-based solution, projects must effectively address real societal challenges and offer strong environmental, economic, and social benefits for local communities.

Market KPIs:

  • If combined with deep decarbonization efforts, NbS projects could provide up to 30% of the mitigation needed to limit global warming to 1.5ºC above pre-industrial levels by 2030 (World Economic Forum, 2023).

  • NbS project credits make up the largest volumes of carbon credits available in the VCM and continue to attract the most investment, with $9 billion invested between 2020 and 2022 (Sylvera, 2023).

  • In 2021, the VCM was estimated to be worth $2 billion, four times its 2020 value. By 2030, the market is expected to reach $10 to $40 billion (BCG, 2022).

  • 5,307 companies have set science-based targets—a 4.2x increase since 2022—and are a significant driver of demand within the NbS and VCM markets (SBTi, 2024).

  • To meet their SBTi targets and mitigate their climate-risk exposure, organizations around the world will need to invest in the type of projects PUR develops. Today, very few market players have a proven track record in NbS project implementation, and PUR is therefore well-positioned to benefit from the market’s expansion.

PUR is recruiting a Lead Data Engineer based in Paris to join our international Data/IT team. PUR is scaling and to do so, we are redesigning our cloud-native stack, building a data platform that balances innovation with operational excellence using a Gitops approach and infrastructure as code. 

As Lead 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 while guaranteeing data availability, quality, security and aligning with cloud best practices, as well as managing and building a talented team of 3 other Data Engineers. 

Our data platform is undergoing a fundamental architectural transformation, as we are shifting from traditional monolithic and batch-oriented systems to a dynamic, event-driven ecosystem. This paradigm represents more than a technological upgrade, it's a strategic redesign of how data flows, transforms, and generates value in real-time for stakeholders globally: data managers, commercial & operations teams and Exco members. 

Success in this role requires demonstrating ability to bridge technical depth with strategic vision, transforming data into solutions that empower decision-makers across the entire organization by deploying new apps, new insights, while maintaining existing solutions. 

The Data team is key to improving our impact, so you will join a purpose-driven, dynamic and growing team around the world.

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.

Requirements

We are looking for someone with :

  • 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 5 years in Data Engineering, with at least 1 in a Lead position) 

  • Experience with cloud-based environment management, preferably in Azure

  • Experience dealing with “Production services”, which is (but not limited to): 

o Being at ease with deployment processes

o Being at ease using logging & monitoring solutions 

o Knowledge of essential security best practice 

o Awareness about networking o Experience with crisis situation management 

o Sensitive to cost management 

  • Advanced skills in Python 

  • Advanced skills in SQL 

  • Hands-on experience using Docker 

  • Hands-on experience using IAC, preferably Pulumi 

  • High tolerance for ambiguity; ability to thrive in a dynamic and rapidly changing environment; International experience is a strong plus

  • Strong sense of accountability and commitment/follow-through

  • Adept at giving and receiving feedback

  • Strong communication skills (clear, precise, and constructive)

  • Looks for impact by making decisions based on facts and critical thinking

  • Dynamic, autonomous, with an interest in sustainability/climate issues

  • Able to work at the Paris office at least 3x a week

  • Fluency in English & French

Recruitment process :

  1. HR interview

  2. Technical test

  3. Interview with 2 Data Engineers + References check

  4. Interview with the Chief Data Officer 

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture Azure CI/CD Data pipelines Data quality Data visualization Docker Engineering ETL Git Industrial KPIs Machine Learning MLOps Pipelines Python Security SQL

Perks/benefits: Career development

Region: Europe
Country: France

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