Senior Data Engineer

Job Location: London, UK/Hybrid - 2 days Onsite and 3 Days Remote

Job Type: FTC - 1 Year

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.