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Pigment

SaaS platform for advanced financial reporting

Data Engineer - Growth Team

Data EngineeringConfirmed live in the last 24 hours
Full-timeParis, France

About the Job

Requirements

  • At least 2 years of experience in an engineering or data role.
  • Experience prompting large language models and knowledge of generative AI feature implementation.
  • Proficiency with Python and SQL.
  • Experience with a cloud provider; Google Cloud Platform experience is preferred.
  • Ability to prioritize work and operate without continuous direct instruction.
  • Interest in sales and marketing initiatives and challenges.

Responsibilities

  • Design and build data models that transform raw data into reliable, business-ready datasets for Salesforce, HubSpot, Slack, and other internal systems.
  • Develop and enhance an internal web application using FastAPI and React so teams can access, explore, and act on data.
  • Lead development of Newton, the in-house go-to-market artificial intelligence intelligence layer and chatbot, built with the OpenAI Agent SDK and a modular tool-based architecture.
  • Conduct code reviews to maintain quality, performance, security, and maintainability across the codebase.
  • Drive architectural decisions to improve scalability, security, and system reliability while reducing complexity and technical debt.
  • Improve engineering productivity and system stability through continuous integration enhancements, refactoring, and adoption of tools and best practices.
  • Lead or contribute to cross-functional data and artificial intelligence initiatives with go-to-market, revenue operations, data, security, and other teams.
  • Shape the team's long-term technical vision, roadmap priorities, and architectural evolution in alignment with company goals.

Desired Qualifications

  • Experience with Terraform.
  • Experience with JavaScript and React.

About the Company

Pigment

SaaS platform for advanced financial reporting

Pigment provides a SaaS FP&A platform that helps businesses create and manage advanced financial reports and forecasts. It connects data, performs large calculations, and enables team collaboration to build detailed models (HR, revenue, operating expenses, and cash flow) beyond traditional spreadsheets. It differentiates itself with a user-friendly design, strong processing power, and easy connectivity that support granular, scalable financial scenarios. Its goal is to make financial reporting and forecasting faster, more accurate, and accessible so teams save time and focus on analysis and value creation.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$646.9M
Headquarters
Paris, France
Founded
2019

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