Are you a Data Engineer passionate about building scalable, cloud-first data platforms that power business insights and innovation? Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making. What Youll Do: Build, test, and maintain ETL/ELT pipelines for structured and unstructured data. Design and optimise data warehouses, lakes, and cloud-native platforms. Implement monitoring, security, and compliance frameworks in line with regulations (e.g., GDPR, financial standards). Deliver high-quality datasets to analysts, data scientists, and business stakeholders. Work with modern technologies, including cloud platforms, orchestration tools, and streaming frameworks. What Were Looking For: Strong SQL & Python skills. Hands-on experience with ETL/ELT tools (e.g., Matillion, Talend, FiveTran, Azure Data Factory). Experience designing and managing cloud data platforms (Snowflake essential; AWS/Azure/GCP desirable). Solid data modelling knowledge and performance optimisation skills. Awareness of data governance, security, and regulatory compliance. Ability to work closely with technical and business teams to deliver impactful solutions. Nice-to-Haves: Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis). CI/CD experience and DevOps practices for data workflows. Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy). Experience in financial services or other highly regulated industries.