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Posted 3 months ago

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IA Data Engineer

LisbonOn-siteFull-time

AI Summary

Designs and builds scalable data systems and pipelines to support AI and advanced analytics. Extracts, transforms, and loads data from multiple sources and collaborates with BI teams.

About this role

IA Data Engineer

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.  

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.  

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.  

We are looking for a Data Engineer with a strategic focus on Artificial Intelligence to strengthen our AI knowledge hub. This role will be key to ensuring the construction of robust and scalable data pipelines, supporting innovative projects in advanced analytics and machine learning.

Responsibilities:

  • Design and build scalable and efficient data systems (databases, data warehouses, and pipelines).
  • Extract, transform, and load (ETL) data from multiple sources, preparing it for BI and AI.
  • Monitor and optimize the performance of data systems, ensuring availability and efficiency.
  • Collaborate with BI teams to define data needs and structure for consumption.
  • Aggregate data from various platforms for advanced analysis.

Qualifications

  • Minimum of 2 years of experience in a similar role.
  • Degree in Computer Engineering or a related field.
  • Previous experience in data modeling and pipeline development.
  • Strong knowledge of Python (preferred), R, and Java FX Script.
  • Familiarity with ETL processes and best practices for data integration.
  • Analytical skills and critical thinking.
  • Good command of English.

Additional Information

  • Workplace type: Hybrid (max. of 3 times per week in the office)
  • Location: Picoas, Lisboa

Skills

BI ToolsData ModelingData PipelinesData WarehousesETLJavaPythonRSQL

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