Senior Data Engineer

Role: Senior Data EngineerLocation: London, UKContract: 1-year Fixed term ContractWork Mode: 2 days a week in client office, 3 days remoteKey Responsibilities:Architect and Develop: Contribute to the platforms 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.Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,SQL.Preferred Technical Skills:Programming: 5+ years of experience in Python/Java.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.