Data Engineer (Energy Trading) – Databricks/API Platform

X4 Technology

Greater London

On-site

GBP 65,000 - 90,000

Part time

4 days ago
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Job summary

X4 Technology in London is leading a strategic data transformation for a major energy trading business, delivering a Databricks-powered data platform and modern visualisation that replace Excel-based analysis.

You will own data products end-to-end, designing pipelines, building APIs with FastAPI, and ensuring production readiness with CI/CD, Docker and Kubernetes, while collaborating with stakeholders across the trading desks.

Qualifications

  • Strong hands-on Python, PySpark, Databricks and SQL Server experience.
  • Strong FastAPI experience is essential.
  • Azure cloud experience, plus Docker and Kubernetes.
  • Data architecture and governance understanding.
  • Excellent stakeholder engagement with technical and non-technical audiences.

Responsibilities

  • Design, build and maintain scalable data pipelines and data products using Python, PySpark, Databricks and SQL Server.
  • Develop and support modern REST APIs and backend services using FastAPI.
  • Own end-to-end engineering across the full SDLC with collaboration across stakeholders.
  • Build and maintain CI/CD pipelines with GitHub Actions and containerised deployments using Docker and Kubernetes.
  • Champion engineering best practices, testing, security, observability and operational excellence.

Skills

Python
PySpark
Databricks
SQL Server
FastAPI
Azure
Docker
Kubernetes
GitHub Actions
Stakeholder engagement

Tools

Docker
Kubernetes
GitHub Actions

Job description

X4 Technology in London is leading a strategic data transformation for a major energy trading business, delivering a Databricks-powered data platform and modern visualisation that replace Excel-based analysis.

You will own data products end-to-end, designing pipelines, building APIs with FastAPI, and ensuring production readiness with CI/CD, Docker and Kubernetes, while collaborating with stakeholders across the trading desks.

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