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2 дня назад

Data Engineer (GCP/Python/SQL)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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/Python/SQL): Developing enterprise data warehouse and ETL solutions across cloud and on-premise platforms with an accent on GCP, Python, SQL Server, and data modelling. Focus on designing end-to-end data solutions, building CI/CD-enabled deployments, and supporting scalable data platforms in an insurance environment.

Location: Hybrid in Lisbon, Portugal, with York also listed as a location

Company

hirify.global is an international insurance group listed on the London Stock Exchange, headquartered in Bermuda, with more than 3,000 employees across 14 countries and 34 offices.

What you will do

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

Requirements

  • Development background with exposure to data warehousing at scale across cloud and on-premise environments.
  • Experience developing ETL solutions with GCP, Python, SQL, SQL Server, SSIS, and T-SQL.
  • Exposure to data warehouse development practices, including code and configuration management and build processes.
  • Strong understanding of enterprise data warehouse architectures, data modelling concepts, and ETL/ELT best practices.
  • Ability to interpret business requirements and collaborate on estimates and end-to-end solution design.
  • Experience working with Agile delivery models and CI/CD pipelines for automated deployments across data platforms.
  • Strong written and verbal communication, stakeholder influencing skills, and the ability to work through ambiguity and reach consensus.
  • Creative, proactive, logical, innovative, results-driven, quality-focused, and committed to continuous learning.

Nice to have

  • Insurance industry experience.
  • Exposure to 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

  • Permanent, full-time employment in a hybrid workplace.
  • Work within the Enterprise Technology Data service vertical, reporting to the Lead Data Engineer.
  • hirify.global promotes courage, humanity, ownership, integrity, and connectedness.
  • Opportunity to contribute to a fast-paced international insurance group and its enterprise technology services.

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