TMC: AWS Data Engineer

Editx; Brussel; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Editx is seeking an AWS Data Engineer to design, develop, and maintain scalable data platforms across cloud environments, with a strong focus on AWS. You will integrate multiple data sources, ensure data quality, and collaborate with data scientists and business stakeholders.

The role emphasizes data governance and documentation, with opportunities to contribute to best practices and cloud-native solutions across the data infrastructure.

Responsabilités

• Designing, building, and maintaining data pipelines and ETL/ELT processes.
• Integrating structured and unstructured data sources from various systems.
• Optimizing data storage and processing solutions, primarily in AWS cloud environments.
• Collaborating with Data Scientists, BI specialists, analysts, and business stakeholders.
• Ensuring data quality, security, governance, and compliance standards.
• Documenting data flows, architectures, and technical solutions.
• Contributing to the continuous improvement of data engineering best practices and cloud-native solutions.

Connaissances

AWS

ETL/ELT

Data pipelines

Cloud environments

Description du poste

About this vacancy

As an AWS Data Engineer, you build the foundations for data-driven decision-making. You design, develop, and maintain scalable data platforms, integrate multiple data sources, and ensure reliable and efficient data infrastructure across cloud environments, with a strong focus on AWS.

Responsibilities

• Designing, building, and maintaining data pipelines and ETL/ELT processes.
• Integrating structured and unstructured data sources from various systems.
• Optimizing data storage and processing solutions, primarily in AWS cloud environments.
• Collaborating with Data Scientists, BI specialists, analysts, and business stakeholders.
• Ensuring data quality, security, governance, and compliance standards.
• Documenting data flows, architectures, and technical solutions.
• Contributing to the continuous improvement of data engineering best practices and cloud-native solutions.