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6 дней назад

Data Engineer (AI)

15 000 - 26 000PLN
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
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 (AI) (Python/SQL/Cloud): Building and maintaining reliable, scalable data pipelines and cloud data solutions with an accent on data processing, quality, observability, and production reliability. Focus on applying AI to anomaly detection, pipeline monitoring, automated testing, and engineering efficiency.

Location: Kraków, Poland; hybrid work combining home and office work

Salary: 15,000–26,000 PLN gross per month on an employment contract

Company

hirify.global is a large home improvement group operating brands including Castorama, B&Q, Screwfix, Brico Dépôt and Koçtaş.

What you will do

  • Design, build, test and maintain reliable, scalable, production-ready data pipelines and data solutions.
  • Develop and optimise data processing workflows across cloud platforms, including data ingestion, transformation, storage and processing.
  • Contribute to CI/CD, automated testing, monitoring, observability, data quality and governance.
  • Investigate pipeline and data issues, identify root causes and implement improvements.
  • Explore practical AI applications for data quality, pipeline monitoring, anomaly detection, automated testing and engineering efficiency.
  • Collaborate with Data Engineers, Software Engineers, Product teams, Architects and stakeholders through technical discussions, code reviews and knowledge sharing.

Requirements

  • Good problem-solving and analytical skills, including the ability to investigate technical and data-related issues.
  • Strong programming skills in Python and SQL.
  • Hands-on experience with Spark, PySpark or Scala and with production data pipelines and processing solutions.
  • Understanding of data modelling, storage, transformation, processing, and batch, streaming and event-driven patterns.
  • Experience with DBT or similar data modelling and transformation tools.
  • Hands-on experience with at least one major cloud platform, such as GCP, Azure or AWS, and modern services such as Databricks, BigQuery or Azure Data Factory.
  • Experience with DevOps and DataOps practices, including CI/CD, Git and Infrastructure as Code.
  • Understanding of data quality, automated testing, monitoring, and scalable, reliable and observable data solutions.
  • Ability to collaborate in cross-functional engineering teams and communicate with technical and non-technical stakeholders; willingness to continuously improve technical knowledge and engineering practices.
  • Excellent command of English, written and spoken.

Culture & Benefits

  • Inclusive and flexible working environment with home-office and Kraków office options.
  • Private medical healthcare, including dental care, for employees and families; child insurance and employer-funded life insurance.
  • Medicover sports card, public transport co-financing in Kraków, parking spaces and transport discounts.
  • Language and accounting courses, LinkedIn Learning, and possible co-financing for studies and certifications.
  • Training and Buddy programme, wellbeing programme, employee referral programme and opportunity for an annual bonus aligned with the role level.

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