Summary: Build and maintain scalable data pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data for analytics and reporting. Key Responsibilities: • Develop and optimise data pipelines and ETL/ELT processes. • Build and maintain data warehouse and data lake structures. • Ensure data quality, governance, and security across platforms. • Collaborate with data scientists and engineering teams. • Monitor performance and troubleshoot data workflows. Skills Required: • Strong SQL, Python, Spark, Redshift. • Experience with cloud data platforms (AWS/Azure). Preferably AWS. • Knowledge of data modelling, governance, and metadata. • Understanding of large-scale distributed data systems. Key Responsibilities: • Develop and optimise data pipelines and ETL/ELT processes. • Build and maintain data warehouse and data lake structures. • Ensure data quality, governance, and security across platforms. • Collaborate with data scientists and engineering teams. • Monitor performance and troubleshoot data workflows. Graduate in Computer Science, Data Science, or related field. 3-4 years of experience in data engineering or a related field. Skills Required: • Strong SQL, Python, Spark, Redshift. • Experience with cloud data platforms (AWS/Azure). Preferably AWS. • Knowledge of data modelling, governance, and metadata. • Understanding of large-scale distributed data systems.