Data Engineer Growth Team H/F Pigment

What You'll Do:We're looking for a talented engineer to join Pigment's Growth team. We operate as a Product Team inside the Revenue organization, focused on building GTM systems rather than just looking for the next growth hack. small team designs and ships high-impact internal systems used by 100+ internal users every week. We build and maintain a centralized GTM data warehouse, internal web applications, orchestration workflows, and AI agents. These systems are treated like real products - with users (internal teams), adoption metrics, feedback loops, and continuous iteration.It's also a unique opportunity to collaborate with amazing brains across Sales and Marketing as end users, RevOps and Data team as key stakeholders for everything systems and data governance, and even our R&D team on AI engineering.To give you an idea of projects we built, you can check this article

Technical Responsibilities:

• Design and build data models to transform raw data into reliable, business-ready datasets powering tools like Salesforce, HubSpot, Slack, and other internal systems.
• Develop and enhance our internal web application (FastAPI/React) to enable teams to access, explore, and act on data seamlessly.
• Lead the development of Newton, our in-house GTM AI intelligence layer and chatbot, built on the OpenAI Agent SDK with a modular tool-based architecture.
• Conduct thorough code reviews to ensure high standards of quality, performance, security and maintainability across the codebase.
• Drive architectural decisions that improve scalability, security, and system reliability while reducing complexity and technical debt.
• Continuously improve engineering productivity and system stability through CI enhancements, refactoring initiatives, and thoughtful adoption of new tools and best practices.

Collaborative Responsibilities:

• Lead or contribute to cross-functional data and AI initiatives, partnering with GTM, RevOps, Data, Security, and other teams to identify high-impact collaboration opportunities.
• Shape the team's long-term technical vision, defining roadmap priorities and architectural evolution in alignment with broader company goals.

Profile:

• You have 2+ years of experience in an Engineering or Data role
• Experience on prompting LLMs and knowledge of GenAI features implementation.
• You have a Growth mindset and are interested in Sales/Marketing initiatives and challenges
• You're able to function in a fast-paced environment, identifying and prioritizing what needs to get done without continuous direct instruction

Skills:

• Experienced with Python and SQL
• Experience with a cloud provider. We use GCP, so experience with this one in particular is even better (Cloud Functions, BigQuery, Cloud Run, Cloud Tasks...)
• Experience with Terraform (optional)
• Experience with Js/React (optional)

Tech Stack:

• Dedicated GCP project
• Python Cloud Runs
• Terraformed infra
• Postgresql applicative db
• BigQuery datawarehouse
• dbt for data transfo
• Internal web app with 20+ sub apps, Python (FAST API) + React

What You Will Get:

• Competitive salary
• Equity
• The best health insurance with Alan Blue entirely free for you and your family
• Trust and flexible working hours
• Brand new offices in the heart of Paris, London, New York and, Toronto
• 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.Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace.All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our .We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.