About this role

Build and maintain ETL/ELT data pipelines
Ensure data reliability and quality
Automate the ingestion of new data streams from various sources (SFTP, APIs, databases, ...) into a data lake
Provide daily reporting on the quality of all customer and internal events at Papernest
Maintain and evolve the Python/Airflow-based stack hosted on AWS and BigQuery
Ensure the technical and functional development of Business Intelligence tools (ETL, data visualization, etc.)
Integrate high-value business data flows

Degree in computer science and at least 1–2 years of professional experience in Data
Proven experience delivering projects in production
Experienced in Python programming and SQL
Experience with ETL / ELT tools
Experience with BigQuery and Airflow is a plus
Eager to learn and curious, able to adapt to a constantly evolving ecosystem
Enjoys sharing research findings and discussing best practices with the team
Fluent in English

A BSPCE (share subscription warrants for company founders) plan upon joining, according to company rules
As a home insurer and provider of green electricity and gas, we offer attractive rates on services to our employees
Health insurance through Alan for simple, paperless management of healthcare expenses, with 50% covered by Papernest
Swile card for meal vouchers worth €9 per working day, with 50% covered by Papernest
Breakfast at the office every Tuesday, access to an Ideal Garden refrigerator, and preferential rates with partner restaurants for healthy, balanced meals
Access to GYMLIB for discounted gym and fitness facilities
Continued professional development with training tailored to your goals, including technical, language, and managerial courses
Numerous opportunities to grow, whether deepening your expertise or exploring new paths, with support for your career ambitions
Benefit from 2 days of remote work per week to optimize focus and productivity
Privileged access to Ekie for tailored legal and tax advice to support you in your administrative matters with confidence

Data Engineer

Key skills