Назад
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9 дней назад

Data Engineer

15 000 - 22 000PLN
Формат работы
hybrid
Тип работы
fulltime
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 (Python/Azure Databricks): Building data pipelines that connect Medius products and support AI/ML, analytics, and reporting with an accent on ETL/ELT design, lakehouse processing, and trustworthy data modeling. Focus on designing scalable platform infrastructure with Terraform, improving data governance and reliability, and solving complex data integration challenges across customer-facing features.

Location: Hybrid in Cracow, Poland

Salary: 15,000–22,000 PLN gross per month

Company

hirify.global is a Swedish-founded software company providing cloud-based spend management and accounts payable solutions enhanced by artificial intelligence.

What you will do

  • Build data pipelines supporting cross-product customer features, AI/ML, analytics, and reporting.
  • Design and maintain ETL/ELT pipelines and data processing in Azure Databricks.
  • Contribute to Terraform, infrastructure as code, DevOps, platform reliability, security, and performance.
  • Define data platform patterns and standards, including governance and data quality practices.
  • Help shape the platform backlog, challenge assumptions, and identify improvements proactively.

Requirements

  • Strong Python, including PySpark, and SQL experience with large-scale datasets.
  • Hands-on experience designing ETL/ELT pipelines in a lakehouse environment.
  • Practical experience with infrastructure as code using Terraform and DevOps practices.
  • Solid data modeling and data integration skills, with a focus on maintaining trustworthy data.
  • Ability to work in a hybrid setup in Cracow, Poland.

Nice to have

  • Apache Spark and Azure Databricks experience.
  • Data mesh architecture experience.
  • Experience with Microsoft Fabric, Snowflake, BigQuery, or other modern data platforms and ETL tools.
  • Experience with AI/ML pipelines, analytics and reporting platforms, data governance, security, or compliance.

Culture & Benefits

  • People-first, collaborative, meritocratic, and trust-based work culture.
  • Continuous learning and a training budget.
  • Private healthcare and life insurance.
  • MyBenefit program and a birthday day off.
  • Summer and winter parties, team events, and a global workforce.

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