Role: Senior Data Engineer Location: London Experience : 10years Work mode: Hybrid Mandatory Skillsets: AWS Snowflake Python Key Responsibilities: • Architect and Develop : Contribute to the platform’s architectural design and build integration, modelling, data persistence, and analytical systems. • Data Pipelines : Implement, maintain, and test robust data pipelines. • Metadata Management : Develop and manage metadata processes and tools. • Performance Monitoring : Ensure the stability and performance of data pipelines. • Data Quality : Implement tools for data curation, metadata management, and quality assurance. • Collaboration : Engage with business and technology teams to align the platform with organizational goals. Preferred Technical Skills: • Programming : 12 years of experience in Python. • Cloud Expertise : Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS). • Data Platforms : Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark. • Workflow Orchestration : Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT. • Data Services : Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services. • Metadata Tools : Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez. • RDBMS : Knowledge of PostgreSQL is a plus. • Industry Experience : Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.