- Salary
- £90 – £100/yr
- Location
- London, England, London, United Kingdom
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 12+ years
Description
Role: Senior Data EngineerLocation: LondonExperience: 10+yearsWork 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.
