Назад
Company hidden
1 день назад

Data Architect (Data Engineering)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Belgium
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Architect (Data Engineering): Designing scalable data architectures, pipelines, cloud solutions, and data integration patterns for client engagements with an accent on distributed systems, data modeling, and DataOps practices. Focus on leading technical delivery, advising stakeholders, mentoring consultants, and developing data engineering offerings across strategy and execution.

Location: Hybrid in Antwerp, Flanders, Belgium, with work from the office, home, and client sites. A work permit cannot be provided.

Company

hirify.global is a global management consulting group combining management consulting, data science, creativity, and technology to support client transformations.

What you will do

  • Lead client engagements and co-design data engineering solutions from strategy through execution.
  • Build robust, scalable data pipelines and architectures for ingesting, processing, and delivering large volumes of structured and unstructured data.
  • Design cloud and distributed data solutions using platforms such as AWS, Azure, and GCP, and frameworks such as Spark and Kafka.
  • Develop data models and optimize relational, NoSQL, time-series, and graph database solutions.
  • Implement batch, streaming, and real-time integration patterns, alongside CI/CD and DataOps practices for reliable and automated workflows.
  • Develop hirify.global’s Data Engineering offerings, contribute to thought leadership and business development, manage stakeholders, and mentor junior to medior consultants.

Requirements

  • Completed WO Master’s degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.
  • 3–6 years of relevant professional experience, or equivalent academic research.
  • Proven interest in Data Engineering and a strong interest in data and AI-related topics.
  • Strong analytical mindset with systematic problem-solving abilities.
  • Strong communication, presentation, stakeholder management, adaptability, and entrepreneurial drive.
  • Ability to mentor colleagues and facilitate professional development.
  • Fluency in Dutch with excellent communication and presentation abilities.
  • Common client technologies include Databricks, Snowflake, and Azure; the specific stack depends on the client.

Nice to have

  • Fluency in German or French.

Culture & Benefits

  • Competitive salary package with annual salary increases, bonuses, hospital insurance, and a company car or mobility budget.
  • Tailored training and development opportunities.
  • Flexible work across the office, home, and client sites.
  • International project exposure and a collaborative global environment focused on professional growth and knowledge sharing.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →