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4 дня назад

Data Engineer (GCP)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK/Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (GCP): Building and maintaining scalable data warehousing and ETL solutions across GCP and on-premise SQL Server environments with an accent on Python, SQL, SSIS, T-SQL, and enterprise data architecture. Focus on designing end-to-end data solutions, implementing CI/CD pipelines for automated deployments, and developing scalable distributed systems.

Location: Lisbon, Portugal

Company

hirify.global is an international insurance group with more than 3,000 employees across 14 countries and 34 offices.

What you will do

  • Develop scalable data warehousing and ETL solutions across cloud and on-premise platforms.
  • Build data solutions in GCP using Python and SQL, as well as SQL Server using SSIS and T-SQL.
  • Translate business requirements into estimates and end-to-end technical designs.
  • Apply data warehouse development practices, including code and configuration management and build processes.
  • Work in Agile delivery models and maintain CI/CD pipelines for automated deployments across data platforms.

Requirements

  • Development experience with data warehousing at scale in cloud and on-premise environments.
  • Strong understanding of enterprise data warehouse architecture, data modelling, and ETL/ELT best practices.
  • Experience with GCP, Python, SQL, SQL Server, SSIS, and T-SQL.
  • Ability to collaborate with team members on solution estimation and design.
  • Strong written and verbal communication, logical thinking, ownership, and ability to work with ambiguity.
  • Commitment to quality, continuous learning, and delivery in a fast-paced environment.

Nice to have

  • Insurance industry experience.
  • Experience with BI reporting tools, ideally Power BI.
  • Experience mentoring or supporting junior team members.
  • Ability to architect highly scalable distributed systems using different tools.

Culture & Benefits

  • Work within the Enterprise Technology Data service vertical.
  • Collaborate with data engineering leadership and multidisciplinary technology teams.
  • Culture centered on courage, humanity, ownership, integrity, and connectedness.
  • Permanent, full-time employment.

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