Data Engineer

Job Facts

Minimum Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• as a Data Engineer or in a similar role.
• Strong programming
• in BigQuery, Python, SQL, and GCP.
• Proven expertise in ETL development and data modeling.
• Familiarity with data lakehouse concepts and techniques.
• Excellent problem-solving, analytical, and critical-thinking
• Strong communication and collaboration abilities.
• with Google Cloud Platform (GCP) technologies—especially BigQuery, with additional exposure to Dataflow, Pub/Sub, and Cloud Storage—considered highly beneficial.
• Background in financial services would be an added advantage.
• 5+ years’ experience as a Data Engineer or in a similar role.
• Strong programming skills in BigQuery, Python, SQL, and GCP.
• Excellent problem-solving, analytical, and critical-thinking skills.

Responsibilities

• Design and build scalable data pipelines and architectures using GCP technologies such as Dataflow, BigQuery, Pub/Sub, and Cloud Storage.
• Develop and manage ETL processes to transform diverse data sources into clean, structured formats for analysis and reporting.
• Partner with data scientists and analysts to understand their needs and deliver solutions that enable insights and decision-making.
• Create and maintain documentation for data pipelines, architecture, and data models to ensure clarity and consistency.
• Troubleshoot and resolve data-related issues quickly to minimise disruption.
• Continuously optimise data pipelines for performance, scalability, and cost efficiency.
• Automate workflows and processes through scripts and tools that streamline operations.
• Safeguard data quality and integrity across all sources, pipelines, and platforms.
• Stay ahead of the curve by keeping up with new GCP tools, best practices, and data engineering trends.