Senior Data Engineer: Dataiku Expert | Power BI & Automation

Inetum Portugal; Lisboa; Hybride; EUR 60 000 - 90 000; Plein temps

Résumé du poste

Inetum Portugal is seeking a Data Engineer (Expert Dataiku) to join our data transformation and analytics projects in Lisbon's Parque das Nações. You will build robust, scalable data solutions and work with Dataiku, SQL, Python, and Power BI.

The role emphasizes autonomy, strong analytical abilities, and collaboration with cross-functional teams to translate business needs into technical solutions, ensuring data quality across the lifecycle.

Qualifications

• Mandatory: proven Dataiku experience at Expert level.
• Strong SQL knowledge 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.

Responsabilités

• 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 data lifecycle.

Connaissances

Autonomy

Analytical mindset

Communication

Team collaboration

Outils

Dataiku

Power BI

SQL

Python

Description du poste

Inetum Portugal is seeking a Data Engineer (Expert Dataiku) to join our data transformation and analytics projects in Lisbon's Parque das Nações. You will build robust, scalable data solutions and work with Dataiku, SQL, Python, and Power BI.

The role emphasizes autonomy, strong analytical abilities, and collaboration with cross-functional teams to translate business needs into technical solutions, ensuring data quality across the lifecycle.