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2 часа назад

Support Data Engineer

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
trainee
Английский
b2
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

Support Data Engineer: Assisting in monitoring, maintaining, and improving cloud-based data pipelines and environments with an accent on Python, SQL, and modern cloud technologies. Focus on debugging, validating, and implementing small improvements for massive datasets and Big Data systems.

Location: Remote-first, work from anywhere (workation-friendly)

Company

hirify.global builds cloud-native data platforms, processes massive datasets, and supports Fortune 500 and global retail clients.

What you will do

  • Support engineering teams with day-to-day technical and operational tasks.
  • Assist with monitoring, debugging, and validating cloud data pipelines.
  • Utilize Python and SQL for data processing, cleaning, and analysis.
  • Document workflows and implement small improvements.
  • Collaborate with engineers to understand requirements and deliver simple solutions.
  • Learn modern tools such as Azure, Databricks, Spark, orchestration, and CI/CD.

Requirements

  • Active student status (IT-related studies preferred).
  • Working knowledge of Python for basic scripts and data transformations.
  • Working knowledge of SQL for queries, joins, and aggregations.
  • Student in Computer Science, Data Science, Applied Mathematics, Informatics, or a similar field.
  • Interest in cloud technologies, data engineering, or Big Data systems.
  • Eagerness to learn, ask questions, and grow.

Nice to have

  • Participation in student tech groups, hackathons, coding communities, or research circles.
  • Exposure to Azure, Databricks, Spark, or ETL concepts.
  • Familiarity with scripting, version control, or cloud basics.

Culture & Benefits

  • MyBenefit / Multisport and Enel-Med private medical care.
  • 2,000 PLN annual development budget and access to premium e-learning platforms.
  • Strong mentorship from experienced Data Engineers and possibility to transition into a Junior Data Engineer role.
  • Remote-first, work from anywhere with flexible hours ideal for combining work and studies.
  • Company-wide international trips and integration budgets for teams.
  • Supportive team, open communication, and a flat structure.

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