Data Engineer (Dataiku Expert)

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

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.

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