Data Engineer - INSIGHTS

About the role

Movu Robotics is looking for a Data Engineer for its INSIGHTS project, which turns operational data from its robotic systems into reliable evidence about system health and performance. The data comes from live warehouse systems where events can be duplicated, delayed, incomplete or interpreted differently across software versions and site configurations. The solution works close to the machines, mainly on-premise, while staying compatible with a future cloud-connected model. The engineer owns the technical chain from field events to delivered data products and makes the numbers reproducible, traceable and operable.

Key responsibilities

• Build reliable ingestion and processing pipelines from operational databases, APIs and event streams generated by warehouse software and robotic equipment.
• Design for event time, duplicates, late or missing events, idempotency, reconciliation and replay, preserving the raw evidence needed to audit or recompute a result.
• Model and transform data into versioned, tested datasets and implement the calculation logic behind INSIGHTS metrics.
• Make data quality, completeness, pipeline health and known limits observable rather than implicit.
• Pack and deploy the data chain on on-premise infrastructure, and contribute to upgrades, recovery, security, configuration and cloud connectivity.
• Work with the architect on technology choices and interfaces, using focused experiments to resolve uncertainty.
• Investigate discrepancies with domain experts and support the first customer pilots through to working, explainable results.

Required profile

• Around 3-6 years of hands-on experience in data engineering, data-platform engineering or backend software engineering with substantial data responsibilities.
• Fluent professional English.
• Experience with industrial, IoT, edge or on-premise systems is valuable but not mandatory if the underlying engineering experience is strong.

Required skills

• Strong Python and SQL skills, sound data modelling, disciplined use of Git, tests and CI/CD.
• Practical experience with event-driven or distributed data systems and operating pipelines beyond the development environment.
• Comfortable with Linux, containers, logs, networking and troubleshooting why data did not arrive or cannot be trusted.

What we offer

• Attractive salary in an international environment with many benefits.
• Company car with fuel card/charging pass, group health insurance and meal vouchers (8€).
• Net allowances, CAO90 bonus, laptop and iPhone with subscription.
• Learning and development opportunities.
• 20 days of vacation plus 12 extra days for working a full year on a 40-hour week (32 leave days in total).
• Satellite office in Berchem (Antwerp).