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12 дней назад

Data Engineer (AI/ML)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (AI/ML) (SQL, ETL, Data Pipelines): Designing and operating data pipelines that integrate, transform, and prepare data from multiple systems for applications, reporting, analytics, and AI/ML datasets with an accent on data modelling, database structures, and data quality. Focus on building reliable integrations, supporting migrations and deployments, and optimizing data-processing components for performance.

Location: Brussels, Belgium; hybrid working model.

Company

hirify.global builds digital solutions for EU institutions, public organisations, and private organisations across Europe.

What you will do

  • Design and develop data pipelines.
  • Integrate, transform, clean, and prepare data from multiple systems and sources.
  • Design relational database structures, relationships, data models, and data flows.
  • Support data migrations and database changes while ensuring data quality, reliability, and performance.
  • Collaborate with technical teams on APIs, application integrations, and data integrations.
  • Support deployment and operation of data-processing components, including AI/ML-related pipelines and datasets.

Requirements

  • At least 3 years of experience in a similar data engineering role.
  • Bachelor's degree in a relevant field.
  • Strong SQL skills and experience with relational databases, data modelling, and ETL/ELT or other data pipelines.
  • Experience integrating multiple data sources and systems.
  • Programming or scripting experience with Python, Java, Scala, or similar technologies.
  • CV submitted in English.

Nice to have

  • Experience with modern data-processing or orchestration tools.

Culture & Benefits

  • Modern working environment and hybrid work model.
  • Competitive compensation and benefits package with hospitalization plan.
  • Meal allowance and mobility budget or commuting allowance where applicable.
  • Well-being activities on premises.
  • Continuous learning through Udemy for Business and ad-hoc training.
  • Personalized development plan for targeted career growth.

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