• Develop and maintain ingestion pipelines from APIs, databases, and SaaS tools, using Fivetran, Airflow, and Python
• Build and maintain dbt models that turn raw data into clean, documented, and tested datasets
• Contribute to the evolution of our orchestration, CI/CD, and infrastructure-as-code setup
• Help improve data quality, observability, and alerting across the platform

• Build pipelines and integrations that sync data between business systems (CRM, ERP, HRIS) through our data warehouse, including reverse ETL with Hightouch
• Develop Python-based automations that remove manual work for teams such as Finance, People, IT, and Customer Success
• Prepare reliable datasets for reporting and for the Pigment applications used by business teams

• Contribute to AI-powered solutions, such as LLM pipelines that extract, classify, and enrich unstructured data (call transcripts, messages, tickets)
• Build the data foundations these projects rely on: AI-ready datasets, usage and observability data, evaluation data
• Apply data architecture principles that make our data reliable, well-documented, and safely accessible for AI use cases (context, retrieval, access scoping)

• Monitor pipelines and automations, troubleshoot incidents, and fix root causes
• Document data models, pipelines, and processes for both technical and business readers

• Work with stakeholders - as diverse as Finance, People, Sales, and Product - to understand requirements and translate them into data solutions
• Participate in code reviews and knowledge sharing sessions
• Continuously expand your knowledge of data engineering, automation, and AI best practices

• Under the supervision of the Business Automation team’s more senior members, you will participate in addressing the following topics.

• Develop and maintain Python-based automations and solutions to streamline enterprise processes
• Implement integrations between various systems and applications using APIs and other connection methods
• Assist in maintaining CI/CD pipelines for automation projects

• Support the implementation of data pipelines that integrate data from various sources, including APIs, external databases, and third-party services
• Assist in transforming raw data into clean and ready-to-use models using SQL and dbt
• Collaborate on data quality monitoring and improvement initiatives

• Help implement monitoring for automation workflows and data pipelines
• Troubleshoot and resolve issues with existing automation solutions
• Assist in documentation of systems, processes, and workflows

• Work collaboratively with team members and stakeholders - as diverse as HR, Sales and Product Engineering - to understand requirements and implement effective solutions
• Continuously expand knowledge of data engineering and automation best practices
• Participate in code reviews and knowledge sharing sessions

• Technical skills

The ideal candidate will possess most or all of the following qualifications. Hands-on experience through personal projects (share your GitHub account!), particularly contributions to open source initiatives, will be valued equally to professional and academic experience for this role.

• Up to 3 years of relevant experience in data engineering, including apprenticeships, internships, and/or demonstrable personal projects
• Strong SQL skills and understanding of data modeling concepts (e.g. layered or dimensional models)
• Solid coding skills in Python
• Understanding of ELT/ETL patterns, pipeline design, and data quality testing
• Knowledge of version control systems (Git) and CI/CD concepts
• Practical experience with a public cloud provider and a cloud data warehouse
• Attention to detail and analytical problem-solving skills, with the ability to identify edge cases
• Good understanding of AI and LLM principles, along with practical use of AI tools in your work
• Excellent communication skills in both French and English, written and verbal

Soft skills

• Problem-solving mindset with critical thinking about business processes
• Strong communication abilities - translating technical concepts to non-technical audiences and active listening skills for accurately capturing business requirements
• A natural curiosity, eagerness to learn, and comfort asking questions early rather than staying blocked are an absolute must
• Bonus points: Basic project management capabilities - tracking tasks, managing timelines, and reporting progress

• Hands-on experience with dbt, Airflow, or Terraform
• Exposure to ingestion and reverse ETL tools
• Hands-on experience building LLM-powered pipelines or applications

• Competitive package
• Stock options to ensure you have a stake in Pigment's growth
• The best health insurance with Alan Blue entirely free for you and your family
• Weekly Lunch and Lunch vouchers (Swile card) to cover your lunch breaks with total flexibility
• Subscription to Egym Wellpass (ex-Gymlib) for full access to gyms, studios, and wellness spaces across France
• Trust and flexible working hours
• Along with one company offsite every year, we have brand new offices at the heart of major cities including New York, San Francisco, Toronto, Paris, and London
• High-end equipment (based on stock/availability) to do your work in the best conditions
• Remote-friendly environment

We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially.

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