Start Your Search Here

push notification bell

Would you like to receive notifications about jobs in Greater London?

push notification bell

You have blocked notifications

Oops! You have blocked notifications. Click here for more info

You have blocked notifications, please check your browser settings.

push notification bell

You're currently subscribed to job notifications

Want to change your notifications for job alerts?

push notification bell

Subscribe to notifications

You will no longer receive notifications

Job Search

Falcon Smart IT (FalconSmartIT)

Greater London / Global

Senior Data Engineer

  • Hybrid

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.
#J-18808-Ljbffr
Apply Now

Similar Opportunities

View all jobs