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22 часа назад

Internship Opportunity: Data Engineer for Process Mining (Celonis)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Romania
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
Internship Opportunity: Data Engineer for Process Mining (Celonis) (SQL/Python/Celonis): Developing and maintaining data pipelines, ETL processes, and validated datasets for Celonis process mining analyses with an accent on data preparation, process discovery, and business process optimization. Focus on building dashboards and visualizations, collaborating with business stakeholders, and documenting data models and transformations.

Location: Pitesti, Romania

Company

hirify.global is a global automotive company developing wire harness systems, vehicle interiors, and digital transformation solutions.

What you will do

  • Develop and maintain data pipelines for process mining initiatives.
  • Support data extraction, transformation, loading, cleaning, and validation from enterprise systems.
  • Prepare data for Celonis process mining analyses and participate in process discovery.
  • Create dashboards, reports, and visualizations to identify process optimization opportunities.
  • Collaborate with business stakeholders and document data models, transformations, and process mining solutions.

Requirements

  • Currently pursuing or planning to obtain a Bachelor's or Master's degree in a technical field.
  • Basic knowledge of databases, SQL, data structures, and data processing concepts.
  • Interest in data analytics, process mining, business process optimization, and automation.
  • Good analytical, problem-solving, communication, and collaboration skills.
  • Good communication skills in English.
  • Motivation to develop professionally in data engineering and process mining.

Nice to have

  • Basic knowledge of Python or another programming language.

Culture & Benefits

  • Hands-on experience with Celonis, a process mining platform.
  • Mentorship from experienced data engineers.
  • Exposure to international projects and business processes.
  • Learning and development opportunities in digital transformation and process optimization.
  • Dynamic and supportive working environment within a global automotive company.

Hiring process

  • Applications matching the profile will receive a response within a maximum of three weeks.

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