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.

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.

Inetum is a European leader in digital services, supporting organizations as they navigate continuous technological change. The company helps clients accelerate their digital transformation through a broad portfolio that includes consulting, application services, digital engineering, cloud, cybersecurity, platforms, and infrastructure services

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

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