Data Engineer

Setec Alpha; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Setec Alpha, a hedge fund in London, seeks a Data Engineer who has built data systems from scratch. You will design, develop, and optimise the data platform using C# and Python, and apply high engineering standards across architecture, testing, and CI/CD.

The role emphasizes data quality, reliability, and operational simplicity, maintaining microservices, ETL pipelines, and databases. You will collaborate with the team, participate in code reviews, and help manage Windows and Linux environments

Qualifications

• 5+ years of professional software development experience.
• Experience designing and operating data-intensive, distributed systems.
• Experience working with databases, including relational, NoSQL, and columnar databases.
• Comfortable working in a hands-on, end-to-end environment with ownership of 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, DevOps 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.

Responsibilities

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

Skills

Software development

Distributed systems

Data platforms

Databases (SQL/NoSQL)

DevOps practices

Finance data familiarity

Tools

C#

Python

CI/CD

IaC

Job description

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, NoSQL, 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, DevOps 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.