Senior Data Engineer

Job title: Senior Data Engineer

Department: Data team

Reports to: Lead Data Engineer

Location: Paris France

Contract: Permanent local and full-time

Starting date: ASAP 2026

PUR Description

PUR is a global B Corp helping companies act for climate nature and people through nature-based projects.

Since 2008 we have worked with leading companies to restore ecosystems support farmers and communities and build more resilient supply chains. Our projects include agroforestry regenerative agriculture reforestation and ecosystem restoration across more than 30 countries.

We work closely with local partners farmers cooperatives NGOs and businesses to design projects that are adapted to each landscape and community. This local approach is key to creating long-term impact for the climate biodiversity soil water and livelihoods.

Today PUR has more than 200 team members across 16 countries with key offices in Paris and Toronto. As the world faces growing climate and biodiversity challenges PUR is helping global companies move from ambition to action.

About the role

As a Senior Data Engineer you will design develop and maintain scalable data pipelines and data processing solutions that power analytics reporting and data-driven decision making. You will play a key role in transforming raw project data into reliable high-quality datasets through robust ETL processes modern data architectures and Python-based engineering practices.

Working closely with business and technical stakeholders you will ensure that data is accessible trustworthy and aligned with analytical requirements while contributing to the continuous improvement of our data platform and cloud-based ecosystem.

Your responsibilities will be but not limited to:

• Design develop and maintain scalable ETL/ELT pipelines using Python.

• Build and optimize data ingestion transformation and validation processes for large datasets.

• Design and maintain data models supporting reporting analytics and business applications.

• Implement and monitor data quality controls to ensure reliability and accuracy.

• Manage and optimize workflows using orchestration tools such as Airflow Prefect or Dagster.

• Contribute to the development and maintenance of cloud-based data platforms (preferably Azure).

• Support CI/CD testing monitoring and infrastructure-as-code practices (Terraform).

• Collaborate with cross-functional teams to deliver scalable and reliable data solutions.

• Maintain technical documentation and promote data engineering best practices.

We are looking for someone with:

• 3-5 years of experience in Data Engineering with strong Python skills and experience building production-grade ETL pipelines.

• Strong SQL expertise and solid understanding of relational and analytical databases data modeling and data warehousing concepts.

• Experience with workflow orchestration tools (Airflow Prefect Dagster) and implementing automated testing for data pipelines.

• Hands-on experience with cloud platforms (preferably Azure) and Infrastructure as Code tools (Terraform is a strong plus).

• Familiarity with AI tools (Claude is a plus).

• Strong knowledge of Git and software engineering best practices.

• Excellent problem-solving skills focus on data quality and reliability and ability to collaborate with cross-functional stakeholders.

• Fluent English with strong written and verbal communication skills.

Recruitment process :

1. Interview with the recruiter

2. Interview with the manager and case study

3. 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.