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.

Senior Data Engineer London, England, United Kingdom