Senior Data Engineer

Role : Senior Data Engineer Location : London, UK Fixed term Contract - 1 Year Work Mode : Hybrid (2 days a week in client office, 3 days remote) Mandatory Skillsets : Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,sql 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: 7+ 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.