Engineering Manager — AI & Ops Optimization Lead

Ventula Consulting Ltd.; Den Haag; On-site; EUR 119,000 - 145,000; Full time

Job summary

Ventula Consulting Ltd. is seeking an Engineering Manager in The Hague to lead a squad of 6–10 engineers and data scientists. You will own delivery from planning through deployment, shaping architecture, and collaborating with Product Owners and operations to translate business needs into robust engineering solutions.

The role requires hands-on technical background (Python) and cloud experience (AWS/Azure/GCP), with a focus on AI/ML, optimisation, or simulation to boost operational efficiency.

Qualifications

• Proven experience leading engineering teams.
• Experience delivering production systems.
• Hands-on background with Python and cloud platforms (AWS, Azure or GCP).
• Ability to review designs and communicate trade-offs.
• Strong stakeholder management and people leadership.
• Experience with AI/ML, optimisation or simulation in logistics/manufacturing is a plus.

Responsibilities

• Lead a squad of 6–10 engineers and data scientists, setting priorities and supporting their development.
• Own delivery from technical planning through to deployment and ongoing improvement.
• Contribute to architecture discussions and code reviews, helping the team make sound technical decisions.
• Work closely with Product Owners and operational stakeholders to translate business needs into engineering requirements.
• Support the delivery of AI, optimisation and simulation capabilities that improve operational efficiency.
• Drive engineering standards across testing, maintainability, deployment and monitoring.
• Recruit, coach and develop a high-performing team.

Skills

Team leadership

Python

Cloud platforms

AI/ML

Delivery management

Stakeholder management

Architecture review

Job description

Ventula Consulting Ltd. is seeking an Engineering Manager in The Hague to lead a squad of 6–10 engineers and data scientists. You will own delivery from planning through deployment, shaping architecture, and collaborating with Product Owners and operations to translate business needs into robust engineering solutions.

The role requires hands-on technical background (Python) and cloud experience (AWS/Azure/GCP), with a focus on AI/ML, optimisation, or simulation to boost operational efficiency.