Senior Data Engineer | ETL, PySpark & Power BI Dashboards

Inetum; Lisboa; Presencial; EUR 42.000 - 66.000; Jornada completa

Descripción de la vacante

Inetum is a global IT services leader seeking a Senior Data Engineer in Lisbon. You will contribute to building data solutions across processing, ETL, visualization, and automation while working closely with business stakeholders.

Key responsibilities include designing data tools, developing ETL pipelines, and creating Power BI dashboards to support decision-making. English fluency and data warehousing exposure are valued.

Formación

• Senior-level experience in Data Engineering.
• Proficient in Python and/or PySpark.
• Experience with ETL processes.
• Understanding of data processing concepts.
• Experience designing and developing Power BI dashboards.
• Understanding of database management principles.
• Ability to translate business requirements into data solutions.
• Fluency in English.
• Exposure to data warehousing environments.
• Experience supporting data visualization projects.

Responsabilidades

• Design and develop data tools to support business needs.
• Collaborate with stakeholders to understand requirements and translate them into data solutions.
• Develop and maintain ETL processes.
• Support data processing and visualization initiatives.
• Design and develop dashboards using Power BI.
• Identify opportunities for process improvement and automation.
• Ensure effective collaboration and communication with stakeholders.

Conocimientos

Senior Data Engineer

Python

PySpark

ETL

Power BI

Data visualization

Data processing concepts

Translate business requirements

English fluency

Data warehousing

Herramientas

Power BI

Python

PySpark

ETL tools

Data warehousing

Descripción del empleo

Inetum is a global IT services leader seeking a Senior Data Engineer in Lisbon. You will contribute to building data solutions across processing, ETL, visualization, and automation while working closely with business stakeholders.

Key responsibilities include designing data tools, developing ETL pipelines, and creating Power BI dashboards to support decision-making. English fluency and data warehousing exposure are valued.