Data Engineer – Data Platform

About the role

We are looking for a Data Engineer to design, develop and maintain robust data solutions that support data generation, collection and processing across our platforms. The role focuses on building scalable pipelines, ensuring data quality and delivering ETL processes that move data efficiently between systems.

Key responsibilities

• Design and implement end‑to‑end data pipelines using Python, PySpark and AWS services.
• Develop, test and maintain ETL processes to migrate and transform data.
• Collaborate with Integration Architects and Data Architects to align platform design and integration.
• Monitor data quality, troubleshoot issues and optimise workflows for performance and scalability.
• Contribute to the data platform blueprint, documentation and continuous improvement initiatives.
• Support junior team members by sharing knowledge and best practices.

Required profile

• Minimum 3 years of professional experience in data engineering.
• Full‑time education of at least 15 years (equivalent to a bachelor’s degree).
• Strong analytical mindset with the ability to work independently and as part of a cross‑functional team.

Required skills

• Data Engineering concepts and practices.
• Python programming.
• Amazon Web Services (AWS) cloud services.
• PySpark for large‑scale data processing.
• ETL design and implementation.