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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Задачи четко сосредоточены на дата-платформе и MLOps в продакшене, есть влияние на архитектуру и щедрый отпуск; работа только на месте в Нидерландах может быть важным ограничением.
Современные технологии
Зона влияния
Климатические технологии
Щедрый отпуск
?Работа на месте
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (IoT): Building and operating scalable data pipelines and time-series platforms for greenhouse climate control with an accent on data quality, traceability, and production ML operations. Focus on designing data contracts, orchestrating ingestion and training workflows, and deploying reliable forecasting and automation models.
Location: Maasdijk, Netherlands
Gross monthly salary: €4,500–€6,000
Company
Climate-control technology for greenhouse growers, combining software engineering, IoT, and data platforms to improve crop production and climate-control decisions.
What you will do
Design and operate scalable data pipelines and time-series data platforms.
Define data contracts, quality standards, and versioned schemas across the platform.
Provide trusted datasets and feature pipelines for data scientists and software engineers.
Run production ML workflows, including scheduled training, batch inference, model registry, deployment, and monitoring.
Orchestrate ingestion, validation, training-data preparation, model runs, and evaluation.
Help build the data-engineering capability and influence architecture for a growing platform.
Requirements
5+ years of experience building production-grade data platforms and pipelines.
Strong Python and SQL skills.
Experience with time-series, IoT, industrial, or other high-volume data environments.
Experience with cloud platforms, containers, CI/CD, and infrastructure as code.
Experience with a workflow orchestrator such as Dagster, Airflow, Prefect, or similar.
Experience operating ML models in production, including training pipelines, registries, scheduled inference, and monitoring.
Strong ownership mindset focused on reliability, quality, and continuous improvement.
Nice to have
Experience with weather, energy, industrial, or agricultural data.
Familiarity with real-time systems and operational technology environments.
Culture & Benefits
Work on a challenge combining technology, sustainability, and food production.
29 days of annual leave plus 8% holiday pay.
Influence key architectural decisions in a growing platform.
Own work with direct impact on greenhouse technology.
Hiring process
Submit a CV and describe a data pipeline that continued running after an upstream failure, including what happened, how it was solved, and what was improved afterward.
Contact Joren de Bruijne via jobs@hirify.global.com for more details.
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