AWS Data Engineer

Job Description Title: Data Engineer Location: London, UK Contract & Hybrid model Role Summary We are seeking a highly skilled Senior Data Engineer with 8–15 years of experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflakeand hands-on experience with Python, PySpark, AWS, and Airflow for building scalable, high-performance data platforms. The role demands strong technical leadership, problem-solving capabilities, and the ability to collaborate effectively with cross-functional teams to deliver robust data engineering solutions. Key Responsibilities • Design, develop, and optimize data pipelines and data models using Snowflake for enterprise analytics and reporting • Write and optimize complex SQL / PL‑SQL queries, procedures, and transformations to support large‑scale data processing • Build and optimize enterprise data warehouse solutions on Snowflake. • Develop data ingestion, transformation, and orchestration workflows using Python, PySpark, and Airflow. • Develop and optimize complex SQL queries, stored procedures, views, streams, and tasks in Snowflake. • Implement scalable cloud-based data solutions leveraging AWS services. • Ensure data quality, governance, security, and compliance across the data platform. • Perform query tuning, performance optimization, and cost optimization within Snowflake. • Automate deployment and monitoring through CI/CD and DevOps practices. • Collaborate with business stakeholders, architects, analysts, and engineering teams to translate business requirements into technical solutions. • Troubleshoot production issues and implement preventive measures to enhance platform reliability. Preferred Experience • Experience in large-scale cloud data migration initiatives. • Strong understanding of enterprise data architecture and modern data platforms. • Experience working with structured, semi-structured, and unstructured data. • Exposure to Banking, Financial Services, or other large enterprise environments will be an added advantage. • Experience in leading technical discussions and mentoring engineering teams.