Lead Data & AI Platform Engineer

AIMMS; Haarlem; Hybrid; EUR 90,000 - 125,000; Full time

Benefits offered by this job

Hybrid work setup

Fully paid pension

30 vacation days

Coaching and training

Job summary

AIMMS is seeking a Lead Data & Analytics Engineer to own the data backbone and AI-enabled optimization. Approximately 70% of your time will be hands-on engineering and architecture, with the remainder focused on technical leadership and mentoring.

You will begin with product ownership for SENSAI Data Ready, turning large, imperfect datasets into reusable execution recipes in minutes, and you will shape the shared data backbone for future AIMMS applications.

Qualifications

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

Responsibilities

• 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.

Skills

Python

SQL

Tools

FastAPI

SQLAlchemy

DuckDB

PostgreSQL

Spark

Polars

Job description

AIMMS is seeking a Lead Data & Analytics Engineer to own the data backbone and AI-enabled optimization. Approximately 70% of your time will be hands-on engineering and architecture, with the remainder focused on technical leadership and mentoring.

You will begin with product ownership for SENSAI Data Ready, turning large, imperfect datasets into reusable execution recipes in minutes, and you will shape the shared data backbone for future AIMMS applications.