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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Крутая вакансия
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Чётко описанная роль сочетает современную инженерную работу с данными и реальные робототехнические системы; подробные задачи и щедрый отпуск делают предложение особенно конкретным.
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Современный стекПонятная зона ответственностиРобототехникаМного дней отпускаРабота на месте
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer - INSIGHTS (Robotics): Building reliable data ingestion, processing, and metric pipelines for live warehouse systems and robotic equipment with an accent on event-time handling, data modelling, and reproducible evidence. Focus on designing for duplicates and late events, deploying on-premise data chains, and diagnosing data quality across industrial systems.
Location: Lokeren, Belgium; satellite office in Berchem (Antwerp).
Company
hirify.global designs and manufactures robotic systems for intralogistics, combining in-house engineering with operational warehouse technology.
What you will do
Build ingestion and processing pipelines from operational databases, APIs, event streams, warehouse software, and robotic equipment.
Design reliable handling for event time, duplicates, late or missing events, idempotency, reconciliation, replay, and raw evidence preservation.
Model and transform data into versioned, tested datasets and implement INSIGHTS metric logic.
Make data quality, completeness, pipeline health, and known limitations observable.
Package and deploy the data chain on on-premise infrastructure and contribute to upgrades, recovery, security, configuration, and cloud connectivity.
Investigate discrepancies with domain experts and support customer pilots through explainable results.
Requirements
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 operating pipelines beyond development environments.
Comfort with Linux, containers, logs, networking, and diagnosing missing or unreliable data.
Ability to understand physical processes, learn unfamiliar domains, and turn ambiguous operational behaviour into explicit engineering rules.
Curious, inventive, pragmatic, and willing to challenge designs, run experiments, learn new technologies, and finish the job.
Fluent professional English required.
Nice to have
Experience with industrial, IoT, edge, or on-premise systems.
Culture & Benefits
Hands-on environment with innovative projects in a growing intralogistics and robotics field.
Learning and development opportunities.
Company car with fuel card or charging pass, group and health insurance, meal vouchers, net allowances, and CAO90 bonus.
Laptop, iPhone with subscription, freshly cooked lunches, and an international working environment.
20 vacation days plus 12 additional days for a full year on a 40-hour workweek instead of 38 hours, for 32 days total.
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