ETL Data Engineer for Enterprise Data Platform

Shore; Porto; Presencial; EUR 60 000 - 90 000; Tempo integral

Resumo da oferta

Shore is seeking an Enterprise Data Engineer in Porto to design, optimise, and operate large-scale data solutions across data warehouse and data lake environments. You will develop ETL/ELT processes, enhance data integration, and ensure reliable platforms enabling data-driven decisions.

The role focuses on implementing robust data flows, data quality controls, and scalable architectures while collaborating with cross-functional teams to translate business requirements into technical data

Qualificações

• Proven track record in data engineering and ETL design.
• Advanced SQL for analysis and DB optimization.
• Experience with Informatica PowerCenter, ODI, Talend or Stambia.
• Strong knowledge of Oracle, SQL Server or PostgreSQL; NoSQL knowledge desired.
• Experience with star and snowflake data modelling.
• Independent problem solving and clear communication.

Responsabilidades

• Design and implement complex ETL/ELT solutions across multiple data sources.
• Develop and optimise advanced SQL for analysis, transformation and validation.
• Build and maintain data flows using enterprise ETL tooling.
• Implement data-quality controls, error detection, monitoring and performance optimisation.
• Translate business requirements into technical data solutions and contribute to data modelling and database design.
• Automate processing, document architectures and flows, and ensure security and compliance.

Conhecimentos

Data engineering

ETL design

SQL optimization

Data modelling

NoSQL knowledge

Problem solving

Communication

Ferramentas

Informatica PowerCenter

Oracle Data Integrator

Talend

Stambia

Descrição da oferta de emprego

Shore is seeking an Enterprise Data Engineer in Porto to design, optimise, and operate large-scale data solutions across data warehouse and data lake environments. You will develop ETL/ELT processes, enhance data integration, and ensure reliable platforms enabling data-driven decisions.

The role focuses on implementing robust data flows, data quality controls, and scalable architectures while collaborating with cross-functional teams to translate business requirements into technical data