Pigment

Data Engineer (Growth Team)

Paris

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting

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What you’ll work on

Full posting

Design and build data models that turn raw data into business-ready datasets
Develop and enhance the internal FastAPI/React web application
Lead development of Newton, the in-house GTM AI chatbot built on the OpenAI Agent SDK
Conduct code reviews for quality, performance, security and maintainability
Drive architectural decisions for scalability, security and reliability

From the employer’s posting

Design and build data models to transform raw data into reliable, business-ready datasets

Develop and enhance our internal web application (FastAPI/React)

Lead the development of Newton, our in-house GTM AI intelligence layer and chatbot, built on the OpenAI Agent SDK

Conduct thorough code reviews to ensure high standards of quality, performance, security and maintainability

Drive architectural decisions that improve scalability, security, and system reliability

What you’ll bring

All qualifications

Core experience

Experience with a cloud provider.
Experience with Terraform (optional)
Experience with Js/React (optional)

Qualification wording

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)

Tools in this posting

Python
SQL
BigQuery
dbt
GCP
PostgreSQL
Snowflake
Terraform
FastAPI
React
JavaScript

Source

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…)

- Dedicated GCP project - Python Cloud Runs - Terraformed infra

- dbt for data transfo - Internal web app with 20+ sub apps, Python (FAST API) + React What You Will Get:

- 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)

- Postgresql applicative db - BigQuery datawarehouse - dbt for data transfo

- BigQuery datawarehouse - dbt for data transfo - Internal web app with 20+ sub apps, Python (FAST API) + React

- Terraformed infra - Postgresql applicative db - BigQuery datawarehouse

Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team - from Finance to HR - to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Uber, Anthropic, Snowflake or Siemens, use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 700+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software.

- 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)

- 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.

- Experience with Terraform (optional) - Experience with Js/React (optional) Tech Stack:

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Open 6 monthsWe first saw this posting 200 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Apr 15, 2026 · 200 days ago
Recorded sightings: 219
Last seen by us: Nov 1, 2026
Employer says posted: Feb 19, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

Join Pigment: The AI Platform Redefining Business Planning

Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team - from Finance to HR - to build, adapt, and align strategic plans in real time.

Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Uber, Anthropic, Snowflake or Siemens, use Pigment daily to make more informed decisions and confidently navigate any scenario.

With a team of 700+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software.

At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo - all while working as one team. If you're driven by innovation and ready to make an impact at scale, we’d love to hear from you.

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.

Our 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 here.

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 HR Data Protection Notice.

Employment type

Full Time

Source details

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Pay: No pay amount identified in the saved description.
Location & working pattern: Paris
- 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.
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at jobs.lever.co ↗Read the full description ↓

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