> Markdown version of [/jobs/ext/798445-finance-systems-engineer-h-f](https://www.wearedevelopers.com/jobs/ext/798445-finance-systems-engineer-h-f). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Finance Systems Engineer H/F - **Company:** Pigment - **Location:** Paris, France - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Software as a Service, Information Systems, Data Dictionary, Data Mapping, Python (Programming Language), Netsuite, Power BI, Salesforce.Com, Data Streaming, Systems Architecture, Data Processing, Sql Optimization, Large Language Models, Snowflake, Prompt Engineering, Generative AI, AI Platforms, Nintex, Data Pipelines - **Published:** June 30, 2026 - **Apply:** https://www.hellowork.com/fr-fr/emplois/80776810.html ## About the Role Experience: 3 to 6 years of experience in FinOps, RevOps, or as a Finance Business Analyst / Analytics Engineer within a fast-growing tech/SaaS company. - The "Builder" Mindset: High skills in multidimensional modeling (Pigment, PowerBi,...) or a strong background in data manipulation (Advanced SQL, Python, or expert-level logic). AI-Curious: You understand how to prompt LLMs, use APIs, and are excited about deploying AI agents to replace repetitive human processes. - Financial Fluency: You understand Accounting principles, P&L mechanics, and Cash flows. You can hold a deep conversation with our Finance team and translate their requirements into system logic. - Education: Degree in Engineering, Data Science, MIAGE, or Business School with a heavy focus on Business Intelligence / Information Systems. - Languages: French and English. ## Description Join Pigment: The AI Platform Redefining Business PlanningPigment 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, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario.With a team of 600+ 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. At Pigment, we are rewriting the rules of business planning. To build the future of our own product, our internal Finance team must operate like a high-performing engineering squad. We don't just execute tasks; we architect systems.As a Finance Engineer, you will sit at the crossroads of Accounting logic, Systems Architecture, and Generative AI. Reporting directly to the Head of FinOps, your mission is to treat the entire Finance stack as a machine: designing automated data pipelines, building production-ready apps via Pigment's Modeller Agents, and ensuring our financial infrastructure scales seamlessly as we grow. The position is Hybrid, meaning 3x per week from the office, no remote possibilities. What Will You Do: 1. Systems Architecture & Modeling (50%) - Architect the Machine: Design, build, and optimize multidimensional models and process within Pigment for internal Accounting (P2P, QTC,R2R,..), Cash Management, and RevOps use cases. - Bridge the Gap: Translate complex accounting policies, billing structures, and revenue recognition rules into clean, scalable, logic-based data flows. - Tool-Agnostic Infrastructure: Ensure seamless data mapping between upstream systems (Zip, Navan, Salesforce) and our ERP ecosystem (Netsuite), maintaining a bulletproof "single source of truth." 2. AI Engineering & Process Automation (30%) - Prompt Engineering & Agents: Leverage LLMs and Pigment's native AI capabilities to build automated reporting agents. - Smart Automation: Deploy workflows (via Workflow automation tool : N8N or APIs,...) to automate month-end closing tasks, anomaly detection, and real-time cash forecasting. - Continuous Close: Actively scout and test next-generation Fintech tools to move the Finance department toward a fully automated, real-time audit-ready state. 3. Governance, Support & Evolution (20%) - Code Mentality: Maintain clear technical documentation, schemas, and playbooks for our finance stack-treating financial logic with the same rigor as product code. - Cross-Functional Collaboration: Partner closely with the existing FP&A Modeler/Architect to maintain a unified data dictionary across the entire company. - Long-term Roadmap: Support the team's evolution as we prepare to fully internalize and optimize our ERP (NetSuite) architecture in early 2027. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Tech as a Profit Center – Maximizing P&L Impact by Research Funding and Capitalization](https://www.wearedevelopers.com/videos/100125-tech-as-a-profit-center-maximizing-p-l-impact-by-research-funding-and-capitalization) - [Building the Next Generation of Software](https://www.wearedevelopers.com/videos/100186-building-the-next-generation-of-software) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [Best Companies to Work For in Paris: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/190-best-companies-to-work-for-in-paris-top-25-companies-in-2023) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [Best Companies to Work For in France: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/189-best-companies-to-work-for-in-france-top-25-companies-in-2023) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers)