Назад
Company hidden
6 дней назад

Data Engineer Senior (m/f/d)

Формат работы
remote (только Portugal)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
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 Senior (m/f/d) (SAP/Databricks): Designing and optimizing data pipelines, models, and analytics solutions across the BI landscape with an accent on SAP Datasphere, SAP Core Data Services, Databricks, and scalable ETL/ELT processes. Focus on integrating SAP and cloud data systems, strengthening data governance and quality, and supporting platform modernization.

Location: Porto, Portugal; hybrid and remote options available.

Company

hirify.global Group develops data-driven insights, modern architectures, and scalable analytics solutions across its business units.

What you will do

  • Design, build, and maintain data pipelines and models using SAP Datasphere, SAP Business Data Cloud, SAP Core Data Services, and Databricks.
  • Translate business and technical requirements into data integration and analytics solutions with Data Architects, Analysts, and Business SMEs.
  • Optimize ETL and ELT processes for performance, reliability, and scalability.
  • Ensure data governance, quality, metadata management, and compliance across SAP and integrated systems.
  • Provide technical expertise for platform transformation and modernization initiatives.
  • Document solutions, evaluate emerging technologies, and promote data engineering best practices.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • At least 3 years of experience in SAP data engineering, data modeling, or analytics.
  • Experience with SAP data analytics technologies, including Business Data Cloud or Datasphere, and/or Databricks.
  • Proficiency in SQL, ETL/ELT design, and integration technologies such as APIs, OData, and CDS Views.
  • Strong understanding of data governance, metadata, data security, and dimensional data modeling.
  • Fluent English required; German is an advantage.

Culture & Benefits

  • Hybrid and remote work options with flexible working hours.
  • Private health and dental insurance.
  • Additional vacation days and a comprehensive benefits package.
  • Learning and professional development opportunities.
  • Collaborative, innovative, and people-focused international environment with team-building activities.

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 →