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Data Engineer

Inetum
Lisbon, Lisbon, Portugal Senior Posted

Summary

Written in English from the original posting

Data Engineer role in Lisbon focused on developing data solutions, ETL processes, and data processing initiatives. The position also involves building Power BI dashboards and collaborating with business stakeholders. Required experience includes senior-level data engineering and Python and/or PySpark.

Job description

Company Description

Inetum is a global leader in IT services, dedicated to delivering innovative solutions to our clients. We are committed to fostering a dynamic, inclusive, and diverse work environment where creativity and collaboration thrive. Present in 19 countries, we are a team of more than 28,000 professionals worldwide.

Job Description

As a Data Engineer, you will contribute to the development of data solutions that support business users and operational teams. You will work across data processing, ETL activities, data visualization, and process automation initiatives while collaborating closely with business stakeholders.

Main Responsibilities:

  • Design and develop data tools to support business needs.
  • Collaborate with stakeholders to understand requirements and translate them into data solutions.
  • Develop and maintain ETL processes.
  • Support data processing and visualization initiatives.
  • Design and develop dashboards using Power BI.
  • Identify opportunities for process improvement and automation.
  • Ensure effective collaboration and communication with stakeholders.

What You'll Bring:

  • Senior-level experience in Data Engineering.
  • Experience with Python and/or PySpark.
  • Experience with ETL processes.
  • Understanding of data processing concepts.
  • Experience designing and developing Power BI dashboards.
  • Understanding of database management principles.
  • Ability to translate business requirements into data solutions.
  • Strong stakeholder collaboration skills.
  • Fluency in English.

Additional Valued Experience:

  • Exposure to data warehousing environments.
  • Experience with process automation initiatives.
  • Experience supporting data visualization projects.

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