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Inetum
Data Engineer

Data Engineer (Dataiku Expert)

On-siteSeniorData Engineerposted 2w ago
✦Role summaryAI-generated

The Data Engineer will design, build, and maintain end‑to‑end data pipelines and workflows in Dataiku, ensuring high‑quality, scalable data integration for analytics projects. They will also create Power BI dashboards, develop SQL models, and implement Python automation to support cross‑functional business needs.

Skills required

About this role

We are looking for an Data Engineer (Expert Dataiku) professional to join data transformation and analytics projects, contributing to the development of robust and scalable data solutions. We are seeking a highly autonomous profile with strong analytical capabilities and solid experience in data-driven environments.

Key Responsibilities:

  • Develop, maintain, and optimize data workflows using Dataiku.
  • Design and automate data integration, transformation, and analytics processes.
  • Create dashboards and reporting solutions using Power BI.
  • Develop and optimize data models and queries using SQL.
  • Build data processing and automation solutions using Python.
  • Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
  • Ensure data quality, consistency, and accessibility throughout the entire data lifecycle.

Qualifications

Desired Profile:

  • Mandatory and proven experience with Dataiku at Expert Level.
  • Strong knowledge of SQL for data manipulation, analysis, and optimization.
  • Experience with Python for automation, data processing, and analytics.
  • Knowledge of Power BI for dashboard development and reporting.
  • Experience in Data Analytics, Data Preparation, Data Quality, and/or Business Intelligence projects.
  • Ability to work independently in the implementation, maintenance, and optimization of data solutions.

Languages:

  • English (C1) is mandatory.
  • French is a plus.

Soft Skills:

  • Strong analytical and problem-solving mindset.
  • High level of autonomy and accountability.
  • Excellent communication and collaboration skills.
  • Proactive attitude with a results-oriented approach.
  • Adaptability and ability to thrive in dynamic environments.

Additional Information

  • Workplace type: Hybrid (50% onsite, 50% remote).
  • Location: Parque das Nações, Lisboa.
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