Senior Data Engineer

Falconsmartit; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Falconsmartit is seeking a Senior Data Engineer in London, England. The role combines architecture, data pipelines, and metadata management to deliver scalable analytics platforms.

Ideal candidates have 12+ years of Python experience and deep AWS and Snowflake know-how, with a background in enterprise data systems, preferably in finance or asset management. Hybrid London working model offered.

Qualifications

• 12+ years of experience in Python.
• Strong AWS services expertise.
• Hands-on Snowflake and data stack experience.
• Experience building enterprise data and analytics systems, preferably in financial services.

Responsibilities

• Architect and Develop: Contribute to the platform design and build integration, modelling, data persistence, and analytics 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.

Skills

Python

AWS

Snowflake

Airflow

Dagster

DBT

PostgreSQL

Tools

Apache Airflow

Prefect

Dagster

DBT

Amundsen

DataHub

OpenDataDiscovery

Marquez

AWS Glue

Lake Formation

EMR

EventBridge

Athena

Job description

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