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5 дней назад

Senior Data Engineer

Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
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

Senior Data Engineer: Building and maintaining robust data pipelines and warehousing solutions to support business insights with an accent on data industrialization and visualization. Focus on leveraging Python and SQL to deliver high-quality reports and dashboards for Front Office stakeholders in an agile environment.

Location: Must be based in or able to work from the Lisbon or Porto office (Hybrid/Onsite)

Company

A multinational strategic partner providing customized and scalable solutions across diverse sectors including banking, energy, and aviation.

What you will do

  • Develop, maintain, and support scalable data pipelines and ETL processes.
  • Industrialize data feeds and manage data warehousing architecture.
  • Create insightful reports and dashboards using visualization tools.
  • Act as the primary point of contact for business sponsors and stakeholders.
  • Communicate complex technical information to non-technical teams.
  • Prioritize and manage multiple projects to meet strict deadlines.

Requirements

  • 3+ years of experience in data engineering and architecture.
  • Professional proficiency in SQL and Python (Pandas).
  • Experience with data visualization tools like Tableau or Power BI.
  • Fluency in English (written and spoken).
  • Availability to work in a hybrid or onsite model in Lisbon or Porto.
  • Academic background in Engineering, Economics, Computing, or related fields.

Nice to have

  • Knowledge of Big Data technologies such as Pyspark, Presto, and Airflow.
  • Experience with Power Query and DAX.
  • Understanding of descriptive statistics and hypothesis testing.

Culture & Benefits

  • Work in a multinational environment with global expertise and local agility.
  • Exposure to diverse industry sectors including banking, insurance, and energy.
  • Collaborative team culture focused on process improvement and innovation.
  • Opportunities to work on end-to-end data solutions from ingestion to visualization.

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