Lead Data Engineer - Remote/Hybrid, Snowflake & AWS Expert

FalconSmartIT; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

FalconSmartIT in London seeks a Senior Data Engineer to design and build scalable data platforms. You will architect data models, integrate pipelines, and work with business and technology teams to align solutions with strategic goals.

The role requires 5+ years in Python/Java, strong AWS knowledge, and hands-on experience with Snowflake, Iceberg, Spark, and DBT. The position offers a hybrid work arrangement and involvement in enterprise-grade data projects.

Qualifications

• 5+ years of experience in Python/Java
• Strong AWS services knowledge (Lambda, Step Functions, ECS)
• Hands-on with Snowflake and data stack tech like Iceberg and Spark

Responsibilities

• Architect and Develop: contribute to platform architecture 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 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/Java

SQL

Cloud AWS

Tools

Snowflake

Apache Iceberg

Apache Spark

DBT

Apache Airflow

Prefect

Dagster

AWS Glue

Athena

Job description

FalconSmartIT in London seeks a Senior Data Engineer to design and build scalable data platforms. You will architect data models, integrate pipelines, and work with business and technology teams to align solutions with strategic goals.

The role requires 5+ years in Python/Java, strong AWS knowledge, and hands-on experience with Snowflake, Iceberg, Spark, and DBT. The position offers a hybrid work arrangement and involvement in enterprise-grade data projects.