Falcon Smart IT
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 1-year FTC in London, UK (hybrid). Key skills include AWS, Snowflake, and Python. Requires 12+ years of Python experience and expertise in enterprise data systems, preferably in financial services.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
May 29, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Watford, England, United Kingdom
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🧠 - Skills detailed
#Data Management #Snowflake #Metadata #Programming #AWS (Amazon Web Services) #Lambda (AWS Lambda) #Data Pipeline #Data Quality #Cloud #RDBMS (Relational Database Management System) #dbt (data build tool) #Airflow #Monitoring #Apache Iceberg #Apache Airflow #Spark (Apache Spark) #Python #Quality Assurance #AWS Glue #Athena #PostgreSQL #Data Engineering
Role description
Job Title: 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.
Job Title: 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.
