Data Engineer - INSIGHTS

Data Engineer - INSIGHTS

Movu Robotics

Lokeren, Belgium

Mission

• Own the technical chain that turns field events into trustworthy INSIGHTS data products: acquisition, storage, transformation, executable metric logic, technical validation and delivery to pilot sites.
• The role is accountable for making the numbers reproducible, traceable and operable. It contributes to architecture decisions with the INSIGHTS architect and works with the KPI Governance & Adoption role to keep technical evidence aligned with intended use.

What you will do

• 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; preserve 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.
• Package 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 and simplify the system.
• Investigate discrepancies with domain experts and support the first customer pilots through to working, explainable results.

Qualifications

• Around 3-6 years of hands-on experience in data engineering, data-platform engineering or backend software engineering with substantial data responsibilities.
• Strong Python and SQL skills, sound data modelling, and disciplined use of Git, tests and CI/CD.
• Practical experience with event-driven or distributed data systems, and with operating pipelines beyond the development environment.
• Comfortable with Linux, containers, logs, networking and the unglamorous work of diagnosing why data did not arrive or cannot be trusted.
• Able to understand a physical process, learn an unfamiliar domain and turn ambiguous operational behaviour into explicit engineering rules.
• Curious, inventive and pragmatic: willing to challenge a design, run an experiment, learn a new technology and finish the job.
• Fluent professional English.
• Experience with industrial, IoT, edge or on-premise systems is valuable, but not mandatory if the underlying engineering experience is strong.