Data Engineer: GCP & Power BI Specialist (Hybrid)

KCS IT; Portugal; Híbrido; EUR 48 000 - 68 000; Tempo integral

Resumo da oferta

KCS IT is seeking a Data Engineer with GCP and Power BI expertise to join our hybrid team in Portugal. You will work on data platforms, ensure data quality, and translate business requirements into technical solutions. Proficiency in French (B2+) is mandatory for collaborating with international clients.

Responsibilities include building data pipelines, managing BigQuery/Composer, and supporting data-driven decisions across multiple projects in a dynamic, international environment.

Qualificações

• Experience in Data Engineering, Data Applications or Data Support.
• Strong knowledge of Google Cloud Platform (GCP).
• Hands-on experience with BigQuery and Composer.
• Experience with ETL/ELT processes and data transformation.
• Strong knowledge of Power BI for reporting and data visualization.
• Experience with SSIS or similar data integration tools.
• Good programming skills in Python and SQL.
• Experience working with Linux environments.
• Experience with incident management, troubleshooting and application support.
• Ability to ensure the stability and performance of data systems.
• Experience developing system evolutions and new data components.
• Experience working in Agile environments.
• Knowledge of Jira and Confluence.
• French proficiency at B2 level or higher is mandatory.

Conhecimentos

Data engineering

GCP

Power BI

Python

SQL

Agile

Communication

Business requirements translation

French (B2+)

Ferramentas

BigQuery

Composer

SSIS

Jira

Confluence

Dataplex

DataGalaxy

PowerDesigner

Jira Xray

Descrição da oferta de emprego

KCS IT is seeking a Data Engineer with GCP and Power BI expertise to join our hybrid team in Portugal. You will work on data platforms, ensure data quality, and translate business requirements into technical solutions. Proficiency in French (B2+) is mandatory for collaborating with international clients.

Responsibilities include building data pipelines, managing BigQuery/Composer, and supporting data-driven decisions across multiple projects in a dynamic, international environment.