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2 часа назад

Data Engineer - INSIGHTS (Robotics)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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