Data Engineer

My client are a Hedge Fund based in London looking for a Data Engineer. You must have built data systems and processes from scratch previously. The successful candidate will;

Optimise and Develop the Data Platform

• Design, develop, and maintain software using C# and Python.
• Follow high engineering standards across architecture, implementation, testing, and CI/CD.
• Focus on data quality, reliability, and operational simplicity when designing both data and software systems.
• Enhance and maintain existing systems and legacy code, including microservices, ETL pipelines, Excel add-ins, and other components.
• Work closely with the team, contributing to code reviews and collaborative problem-solving.

Improve Software Infrastructure

• Develop and improve infrastructure management, including Infrastructure as Code (IaC) and disaster recovery.
• Strengthen observability across the platform, including logging, monitoring, alerting, and system health checks.
• Manage Windows and Linux environments, diagnosing and resolving network and system-level issues.
• Maintain databases, including backup processes, replication, and general database reliability.

Support and Maintain Platform Operations

• Provide technical support to help maintain platform reliability and resolve user issues.
• Monitor system health, carry out regular checks, and investigate and resolve problems as they arise.
• Respond efficiently to ad hoc technical queries and requests.

Requirements

• 5+ years of professional software development experience.
• Experience designing and operating data-intensive, distributed systems.
• Experience working with databases, including relational, No
  
  SQL, and columnar databases.
• Comfortable working in a hands-on, end-to-end environment where you may own a wide range of technical responsibilities.
• Able to work effectively in a dynamic environment with multiple concurrent projects and priorities.
• Interest in, or experience with, Dev Ops practices is a plus.
• Experience working with financial or market data is a plus.
• Interest in, or experience with, data engineering or data science is a plus.