Lead Data & Analytics Engineer (Builder-Lead Role)

• 6+ years of experience in backend, platform, or data-intensive software engineering

• Strong hands-on skills in Python and SQL

• Experience building reliable backend services and data products

• Familiarity with technologies such as FastAPI, SQLAlchemy, DuckDB, PostgreSQL, Spark, or Polars

• Experience delivering B2B SaaS or enterprise software

• A software engineering mindset focused on maintainability, performance, and reliability

• Experience mentoring engineers or leading technical decisions

• Experience building AI agents, tool calling, evaluations, and production guardrails

• Comfort taking ownership in an ambiguous, greenfield environment

Experience with Azure, C/C++, mathematical optimization, supply chain, or decision-support systems is a plus.

• 💰 Competitive salary.

• 🧓 Fully paid pension. 

• 🌍 Hybrid work 

• 🌴 30 vacation days to properly recharge. 

• 🧠 A culture that prioritizes continuous learning and skill development through coaching and training.

• ✈️ ‘Short-term remote friendly’ the freedom to occasionally work from abroad, in alignment with the team. 

Build the data backbone for AI-powered optimization.

AIMMS is building the next generation of data and AI capabilities for enterprise decision-making in areas such as supply chain and energy. We are looking for a Lead Data & Analytics Engineer to help turn this vision into production software.

Your first mission: SENSAI Data Ready

You will begin with product ownership for SENSAI Data Ready, an AI-native product that addresses one of the biggest bottlenecks in supply-chain analytics.

Preparing large, imperfect customer datasets for optimization models can take weeks of manual work. SENSAI enables supply-chain analysts to use conversational, agentic AI to inspect, join, validate, and transform multi-million-row datasets into reusable execution recipes-in minutes.

From there, your scope will grow to defining and building the shared, persistent data backbone that enables future AIMMS applications.

This is a hands-on builder-lead role. You will shape the architecture, write code, make important technical decisions, and help grow the engineering capability around you. Approximately 70% of your time will be hands-on engineering and architecture, with the remaining time focused on technical leadership and mentoring.

• Design and build scalable data products for large datasets

• Develop reliable AI-agent workflows for data inspection, transformation, and validation

• Solve challenging problems involving SQL generation, schema drift, joins, performance, and data quality

• Define the architecture and technical direction of the AIMMS Data Backbone

• Build production-quality services, APIs, tests, and CI/CD pipelines

• Research, prototype, and evaluate new technologies

• Mentor engineers and raise the technical bar across the team

• Work closely with Product, domain experts, and technical leadership

You do not need to match every item below. We are looking for a software-first engineer with strong data foundations, sound technical judgment, and the motivation to build something meaningful from zero to one.

Life at AIMMS: The Good Stuff 

You’ll step into a role where your work is visible, valued, and has direct impact on our growth—within a company that combines stability with ambition. 

• Greenfield platform engineering: Design and build a brand-new data backbone from the ground up, backed by the scale and stability of an established product company.

• Complex, high-impact problems: Work at the intersection of agentic AI, large-scale data systems, and mission-critical optimization challenges.

• True technical ownership: Shape architecture, technology choices, and the engineering culture while staying hands-on in the code.

• Pragmatic, low-ego culture: Work with kind, curious, and collaborative colleagues in an open environment built on trust, transparency, and short communication lines.

• Great setup: Hybrid flexibility with a collaborative office in Haarlem, competitive compensation, and strong support for personal and technical growth.

If you want to build production-grade data platforms and AI agents for high-impact optimization products, we would love to hear from you. 

AIMMS: Who We Are (and why it matters)