Data Engineer (Growth Team)

Pigment is hiring a Data Engineer (Growth Team) in Paris, France. Level rates it ; you can apply on Pigment.

Level's read on this job

Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
Tools and skills the posting cites include OpenAI, Anthropic and AI agents.
Level classifies it as a mid-level role.
Level lists 128 other open roles at Pigment.

AI in this role

openaianthropic

ai-agents

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.

How we rate this

Data Engineer (Growth Team) at Pigment rates 16 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer (Growth Team) is an open job at Pigment.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Paris.
The job was posted on February 19, 2026.
Seniority: mid.
Applications are handled by Pigment. Apply on Pigment

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsOpenAIAnthropic

Also common in data engineer jobs at this level

AWS Spark Azure Databricks Airflow Java

Pay

Typical data engineer job: $148k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used OpenAI in your day-to-day work.
What are the limits of Anthropic that you've run into, and how did you work around them?

Adapt your resume

List these exact terms on your resume: AI agents, OpenAI, and Anthropic. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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