Job Description
We are seeking an accomplished and detail-oriented Lead Data Engineer – AWS to join our Data & AI practice. The successful candidate will bring deep expertise in data engineering, distributed data processing, and cloud-native platforms, with a strong focus on AWS-based data ecosystems. This role is critical in designing, building, and optimising end-to-end data pipelines and platforms, enabling scalable data processing, advanced analytics, and AI-driven solutions. You will play a key role in ensuring data quality, integrity, performance, and reliability, supported by strong engineering and testing practices. As a senior practitioner, you will collaborate with architects, engineers, and analysts to deliver secure, scalable, and high-performing data solutions, leveraging technologies such as AWS Glue, Python/PySpark, SQL, and configuration-driven frameworks (e.g., YAML). You will thrive in a collaborative, client-facing environment, with a passion for solving complex technical challenges, ensuring delivery excellence, and driving modernisation through cloud-native engineering practices.