Software Engineer - Data Platform Engineering

Software Engineer – Data Platform Engineering

London – Hybrid (4 days office / 1 remote)

Quant Capital is hiring for a trading and research firm seeking a Software Engineer to join its Data Platform team. This team owns the infrastructure that powers structured, high-quality datasets used across trading, research, and operations.

The focus is not on breadth but depth, consolidating the most critical financial datasets into clean, accessible, and reliable pipelines. You’ll work at the intersection of systems engineering, data quality, and automation, shaping the way the firm accesses and relies on structured data.

Role Overview

You’ll design and build robust data ingestion pipelines, apply algorithmic solutions to data validation problems, and contribute to a centralised platform that internal teams use to consume market and reference data. Your work will directly support decisions made across the business daily.

This is a high-autonomy role where proactive ownership, clean code, and system-level thinking are valued more than process or oversight.

Key Responsibilities

Design and maintain pipelines for ingesting and cleaning financial datasets

Integrate with distributed internal systems to serve structured data to end-users

Develop new algorithmic techniques for quality control, error correction, and anomaly detection

Engage with internal stakeholders to shape schema, resolve issues, and anticipate data needs

Optimise systems for performance, reliability, and long-term maintainability

Required Experience

Confident programmer in a statically typed language (e.g. Go, Java, C++)

Strong background in distributed systems or backend platform engineering

Solid understanding of statistics, data quality metrics, and applied ML concepts

Experience with relational databases (Postgres, MySQL, etc.) from both usage and administration perspectives

Ability to analyse noisy data and design tooling to surface problems early

Why Apply?

Build and own the firm’s centralised, business-critical data platform

Work on clean, structured engineering challenges with long-term value

Blend software engineering with data science and system design

High autonomy, low overhead, and real exposure across trading and research

Join a deeply technical team working on some of the most important datasets in the business

All applications are handled with strict discretion – nothing is shared without your approval.