Data Engineer

Setec Alpha

Greater London, UK

17 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Microsoft Excel Microsoft Windows C Sharp (Programming Language) Code Review Databases Continuous Integration Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Systems DevOps Disaster Recovery

+9 more

Distributed Systems Python (Programming Language) Linux System Administration NoSQL Software Engineering Software Systems Data Logging Infrastructure as Code (IaC) Microservices

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.