Senior Data Engineer

Location: Greater London

Job Title:

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 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: 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, Event Bridge, Athena, and similar services.

Metadata Tools:

Experience with tools like Amundsen, Atlas, Data Hub, Open Data Discovery , or Marquez.

RDBMS:
Knowledge of Postgre

SQL 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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