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Inetum

Data Engineer

Inetum Lisbon, Portugal

IT Services and IT Consulting · 10,001+ employees

10 h ago
data-engineer Senior (5-10 yrs) Full-time Portugal
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About the role

You will design and develop data tools, ETL processes, and dashboards to support business needs. Additionally, you will collaborate with stakeholders to identify process improvement and automation opportunities.

What they look for

Data Engineering Python PySpark ETL Data Visualization Power BI Database Management Process Automation Data Warehousing Stakeholder Management Data Processing

Requirements

The role requires senior-level experience in Data Engineering with proficiency in Python, PySpark, and Power BI. Candidates must possess strong stakeholder collaboration skills and a solid understanding of data processing and database management.

Full 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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