Senior Data Engineer

Role : Senior Data Engineer

Location : London, UK

Fixed term Contract - 1 Year

Work Mode : Hybrid (2 days a week in client office, 3 days remote)

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: 7+ 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.