Назад
Company hidden
1 день назад

Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Data Engineer (Data & Analytics): Designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven initiatives with an accent on Databricks, SQL, and Python. Focus on collaborating with cross-functional teams to ensure system reliability, data quality, and the development of robust data platform architecture.

Location: Must be based in Lisbon, Portugal. This is a hybrid role requiring at least three days a week in the office.

Company

hirify.global is a global leader in risk, strategy, and people, advising clients in 130 countries with over 95,000 colleagues worldwide.

What you will do

  • Collaborate with analytics and business teams to improve data models for business intelligence tools.
  • Develop and maintain automated data pipelines for efficient data collection, transformation, and delivery.
  • Implement systems to monitor and ensure data quality and integrity across production sources.
  • Design data integrations and quality frameworks while applying data governance principles.
  • Partner with engineering teams to define long-term data platform architecture strategies.
  • Document technical designs and best practices to support team knowledge sharing.

Requirements

  • Bachelors or MS in a quantitative discipline such as mathematics, statistics, or computer science.
  • 2+ years of experience in data engineering or software development.
  • 2+ years of hands-on experience with Databricks and ETL tools like Azure Data Factory or SSIS.
  • 2+ years of SQL/PLSQL development experience.
  • Proficiency in Python or R.
  • Must be able to work onsite in Lisbon at least three days per week.

Nice to have

  • Experience with cloud platforms like AWS, Azure, or GCP.
  • Familiarity with big data frameworks such as Spark, Kafka, or Hadoop.
  • Experience with data visualization tools like Tableau or Power BI.
  • Knowledge of relational and NoSQL databases and data warehousing concepts.

Culture & Benefits

  • Professional development opportunities and supportive leadership.
  • Vibrant and inclusive culture focused on diversity and collaboration.
  • Competitive benefits and rewards package.
  • Hybrid work model balancing remote flexibility with in-office collaboration.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →