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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Big Data/ETL): Building and maintaining strategic data products and scalable services for a global luxury resale platform with an accent on production-level data engineering, algorithmic design, and analytical insights. Focus on designing reliable data pipelines, developing big-data ETLs and orchestration, and applying cloud, CI/CD, and AI solutions.
Location: Porto, Portugal. Workplace: Hybrid.
Company
Luxclusif is a technology-driven B2B platform for the global resale of premium pre-owned fashion and has been part of hirify.global since 2021.
What you will do
Design, build, and maintain services within the platform.
Develop and expand strategic data products that support business competitiveness and analytical insights.
Collaborate with Data Analysts and Software Engineering teams on complex data and product challenges.
Design and develop scalable, performance-oriented services with a strong focus on algorithmic design.
Requirements
Degree in Computer Science, Information Systems, or equivalent specialized training or certification.
At least 5 years of experience in data engineering or a similar role.
Experience building and architecting production-level data products and data engineering environments.
Experience designing, modeling, and developing big-data ETL processes and orchestration.
Ability to design and maintain reliable, sustainable data pipelines, with experience in CI/CD tools and cloud environments.
Comfortable communicating in English and working in a hybrid setup in Porto, Portugal.
Nice to have
Proactive use of AI tools and solutions to improve business impact and productivity.
Culture & Benefits
Health insurance covering the whole family and additional well-being resources.
25 days of annual leave above the statutory allowance, plus two Caring Days per year.
Boomerang sabbatical program after five years of service.
Training opportunities and free access to LinkedIn Learning.
Flexible benefits and a flexible working environment.
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