Trading Data Platform Lead

Fuse Energy, LLC; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary + equity

Biannual bonus scheme

Fully expensed tech

Private health insurance

Breakfast and dinner allowance

Job summary

Fuse is an AI-first energy company hiring a Data Lead to own trading data end to end, from data entry to trader reliance. You will ensure correctness, timeliness, reproducibility and usefulness, and accelerate production deployment for models and trading decisions.

You’ll lead data ingestion, schema design for time-series data, vendor evaluations and production monitoring, while growing a team to scale data capabilities across the desk.

Qualifications

• Experience owning and shipping data products to real users or customers.
• Strong ability to design scalable data pipelines and schemas for time series/event data.
• Proven track record leading cross-team data initiatives and driving outcomes.

Responsibilities

• Own trading data as a product, including power market data, weather forecasts, grid data, fuel prices and fundamentals.
• Ship datasets and pipelines to production quickly, fix bottlenecks across ingestion, storage and delivery.
• Design canonical schemas supporting point-in-time correctness, revisions and backtesting without lookahead bias.
• Evaluate, onboard and manage data vendors with coverage, latency, licensing and cost considerations.
• Build and run monitoring for freshness, completeness and anomalies with clear remediation processes.
• Lead and grow a team of engineers and map data flows across the business to enable new sources.

Skills

Python

SQL

Data pipelines

Time-series data

Data modeling

Leadership

Job description

Fuse is an AI-first energy company hiring a Data Lead to own trading data end to end, from data entry to trader reliance. You will ensure correctness, timeliness, reproducibility and usefulness, and accelerate production deployment for models and trading decisions.

You’ll lead data ingestion, schema design for time-series data, vendor evaluations and production monitoring, while growing a team to scale data capabilities across the desk.