Data Engineer Position Available In New York, New York

Data Engineer Post Id Number:

408101

Employment Type:

Permanent

Location:

London

Contact:

cbridgeconnectionsny

Salary Range:

$90,000 – $120,000

Skills:

AWS, Office, Ci/cd, Data Engineer, Data Pipelines, FastAPI, Flask, Python, Real-time, Reporting Tools, Trading, Unit Test

Description:

end Data Engineer – Core Technology Team We are seeking a talented end Data Engineer to join our Core Technology Team, where you’ll specialize in Python development to create robust automation solutions for both trading and non-trading back-office operations. This role sits at the intersection of technology and finance, requiring you to build sophisticated automation systems, developprehensive reporting tools, and enhance operational efficiency across our trading platform and supporting infrastructure. As a key member of our Core Technology Team, you’ll be responsible for streamliningplex workflows, automating manual processes, and delivering data-driven insights that enable our trading operations to scale effectively. You’ll work closely with traders, operations staff, and other technology teams to identify automation opportunities and implement solutions that reduce operational overhead while maintaining the reliability and precision essential to our business.

Role Overview Position:

Python Developer specializing in automation for both trading and non-trading back-office operations

Team:

Core Technology Team supporting the trading platform, infrastructure, and operations

Focus:

Development of automation systems and reporting tools with emphasis on operational efficiency Key Responsibilities Reporting systems: building both real-time and scheduled reporting tools for various stakeholders
Data integration: connecting and consolidating data from multiplepany sources
Tooling development and maintenance: building new automation tools and ensuring their reliability and continuous improvement
Collaborative problem-solving: working with trading and technology teams to identify and implement new automation opportunities Requirements Advanced Python programming: production-level experience programming in Python 3 and adherence to software development best practices
Testing proficiency including unit testing, integration testing, and automated test frameworks
Database and data integration experience working withpany’s various SQL data sources and creating data pipelines
System automation skills for building tools that streamline trading operations and deployment processes Optional/Ideal Web framework experience (Flask, FastAPI) for creating internal dashboards and tools
DevOps automation background with CI/CD pipelines and deployment orchestration
Financial systems curiosity with interest in understandingplex trading operations
Cloud platform exposure (AWS, Azure, GCP) for scalable automation solutions Personal Attributes Highly motivated with strong self-direction and problem-solving capabilities
Curious mindset eager to understand the inner workings ofplex trading systems
Detail-oriented with appreciation for accuracy in financial and operational contexts <