Data Engineering Design and manage high-throughput, low-latency data pipelines using distributed computing frameworks. Build scalable ETL/ELT workflows using tools such as Airflow and Spark. Work with containerised environments (e.g., Kubernetes, Open Shift) and real‑time data platforms (e.g., Apache Kafka, Flink). Ensure efficient data ingestion, transformation, and integration from multiple sources. Maintain data integrity, reliability, and governance across systems. Data Analysis & Modelling Apply statistical and machine learning techniques to analyse data and translate complex data sets to identify patterns, trends and actionable insights that drive business strategy and operational efficiency. Develop predictive models, recommendation systems, and optimisation algorithms to solve business challenges and enhance operational efficiency. Transform raw data into meaningful features that improve model performance and translate business challenges into analytical problems providing data...