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2 дня назад

Data Engineer

Формат работы
remote (только Poland)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
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 (SQL/Python/Cloud): Building and maintaining robust data pipelines and scalable data platforms for high-volume financial data with an accent on performance, cost optimization, and data accuracy. Focus on monitoring model performance, solving data-related problems, and coordinating with functional teams to meet data needs.

Location: Remote, Poland

Company

hirify.global is an African fintech platform providing payments, banking, credit, cross-border, and business management tools to businesses and individuals.

What you will do

  • Build and maintain robust data pipelines processing large volumes of data.
  • Update and optimize the data platform for speed, scalability, and cost efficiency.
  • Coordinate with functional teams to understand and meet data requirements.
  • Develop tools and processes to monitor model performance and data accuracy.
  • Solve general data-related problems across the platform.

Requirements

  • 5+ years of experience as a Data Engineer, or equivalent demonstrated accomplishments.
  • Advanced SQL and proficient Python skills.
  • Experience with cloud platforms such as Google Cloud, AWS, or Azure.
  • Experience with version control tools such as Git.
  • Strong problem-solving, written, and verbal communication skills.
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.

Nice to have

  • Experience with data governance.
  • Experience building and deploying machine learning models.
  • Experience with Terraform or other infrastructure-as-code tools.

Culture & Benefits

  • People-first culture focused on well-being, respect, inclusion, and open communication.
  • Learning and development environment with knowledge sharing, training, and internal technical talks.
  • Salary, pension, health insurance, annual bonus, and other benefits.

Hiring process

  • Take-home assessment.
  • Preliminary recruiter phone call.
  • Technical interview with an Engineering Team Lead, followed by a behavioural and technical interview with an Executive Team member.

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