Senior Data Engineer

Falcon Smart IT Limited; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Falcon Smart IT Limited seeks a Senior Data Engineer in London, UK. The role is a 1-year fixed-term contract with a hybrid work model: 2 days per week in client offices and 3 days remotely.

You will architect and develop data platforms, build robust data pipelines, manage metadata, monitor performance, and ensure data quality while collaborating with business and tech teams to meet strategic goals.

Qualifications

• Experience with Python and Java in data engineering contexts.
• Strong SQL skills and cloud data platform experience.
• Hands-on experience with Snowflake and data stack tooling.

Responsibilities

• Architect and develop data platforms and integrations, modelling, data persistence and analytics.
• Implement, maintain and test robust data pipelines.
• Develop and manage metadata processes and tools.
• Ensure stability and performance of data pipelines.
• Implement tools for data curation, metadata management and quality assurance.
• Engage with business and technology teams to align the platform with organizational goals.

Skills

Python

Java

SQL

AWS

Tools

Snowflake

dbt

Dremio

Glue Jobs

Apache Iceberg

Apache Spark

Apache Airflow

Prefect

Dagster

Job description

Role: Senior Data EngineerLocation: London, UKContract: 1-year Fixed term ContractWork Mode: 2 days a week in client office, 3 days remoteKey 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.Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,SQL.Preferred Technical Skills:Programming: 5+ years of experience in Python/Java.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.