UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (42.0%).

Occupation TypeIT business analysts, architects and systems designers

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£54,900 (£28.15 per hour)

Occupation rate applies

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Description

Role: Contract Data Engineer

Project: Data platform build for algorithmic trading

Industry: Commodities Trading

Location: London (hybrid)

Contract: 6 month initial (long-term programme)

Rate: £800-950/d (inside IR35)

X4 Technology are partnered with a leading commodities trading business offering the opportunity for a Contract Data Engineer to join a high-impact algorithmic trading programme. This role sits at the heart of a major data platform build, supporting both analytics and systematic trading through scalable, high-performance data pipelines.

You’ll work closely with traders, quants, and engineering teams to design and deliver both batch (Databricks) and real-time (tick-level time series) data solutions.

Responsibilities of the Contract Data Engineer (Algorithmic Trading)

Design and build scalable data pipelines (batch + real-time) for trading analytics
Develop data models across disparate datasets (market data, orders, trades, positions)
Build and maintain high-performance data platforms for TCA and execution analytics
Ingest and process large-scale, high-frequency (tick-level) market data
Develop real-time and historical data services for trading and research
Optimise query performance and data access patterns
Contribute to time-series database architecture and implementation
Collaborate with traders and quants to deliver analytics and data-driven insights
Support development of pre- and post-trade analytics capabilities
Work across teams to integrate data from multiple systems and platforms

Requirements for the Contract Data Engineer (Algorithmic Trading)

Proven background in commodities trading / capital markets / investment banking

Strong experience working with large financial datasets (market data, trades, orders)

Demonstrable knowledge of derivatives trading lifecycle and market structure

Proven data engineering experience (data modelling, pipeline development)

Experience with time-series databases (kdb+ preferred)

Strong knowledge of tick data structures and high-frequency data processing

Experience building or supporting TCA / execution analytics platforms

Familiarity with Linux environments and scripting (Bash, etc.)

Comfortable working directly with traders in fast-paced environments

This is a foundational hire within a growing data function, offering the opportunity to shape both batch and real-time data architecture for a global trading platform. You’ll play a key role in building out next-generation data capabilities, working closely with systematic trading teams and contributing directly to trading performance and analytics. Please apply online for immediate consideration.