Data Engineer

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 systems. The role focuses on building efficient pipelines, ensuring data quality and enabling seamless data migration and deployment.

Key responsibilities

• Design, develop and maintain data pipelines and ETL workflows using PySpark.
• Collaborate with cross‑functional teams to gather data requirements and deliver scalable solutions.
• Monitor, troubleshoot and optimise data processing jobs for performance and reliability.
• Document data processes and communicate clearly with stakeholders.
• Mentor junior team members and share knowledge.

Required profile

• Minimum 3 years of professional experience with PySpark and big‑data technologies.
• Strong understanding of distributed computing and big data frameworks.
• Experience in data quality assurance and validation techniques.
• Ability to work independently and become a subject‑matter expert.

Required skills

• PySpark
• ETL processes
• Data pipeline development
• Distributed computing
• Big data frameworks
• Data modeling concepts