Senior Data Engineer

Job Title: Senior Data EngineerJob Location:London, UK ( 2 days a week in client office, 3 days remote)Job Type:Permanent, Contract, FTCJob Description:Mandatory Skillsets: Python, Snowflake, dBT, dremio, glue jobs, Apache iceberg, AWS,SQLKey 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. 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.

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