Analytics Platform Engineer — Cloud, ML & Trading

DTU — Technical University of Denmark; Denmark; Hybrid; DKK 647,000 - 971,000; Full time

Benefits offered by this job

Pension

Insurance

Paid holidays

Holiday allowance

Wellbeing programmes

Canteen lunch

Job summary

Ørsted is seeking a Business Application Responsible for the Analytics Workspace, a JupyterHub-based platform on Kubernetes, to support trading and revenue analytics. You will collaborate with Data Science, Commercial Digital Technology, and stakeholders to deliver reliable, scalable analytics capabilities and guide platform improvements.

You will work with quantitative developers, model developers, and engineers to ensure the platform aligns with user needs and evolving analytics use cases,

Qualifications

• Strong Python development practices including testing, packaging and CI/CD.
• Hands-on experience with JupyterHub-based platforms and Kubernetes.
• Experience with Airflow and cloud infrastructure (Azure/AWS or similar).
• Familiarity with DevOps or MLOps topics and platform design.

Responsibilities

• Own the Analytics Workspace on the Trading & Revenue side, ensuring reliability and relevance.
• Co-develop platform capabilities with Commercial Digital Technology through coding, prototyping, and testing.

Skills

Python

JupyterHub

Kubernetes

Airflow

Cloud infra

DevOps / MLOps

Stakeholder comms

Analytics engineering

Tools

Azure

AWS

Job description

Ørsted is seeking a Business Application Responsible for the Analytics Workspace, a JupyterHub-based platform on Kubernetes, to support trading and revenue analytics. You will collaborate with Data Science, Commercial Digital Technology, and stakeholders to deliver reliable, scalable analytics capabilities and guide platform improvements.

You will work with quantitative developers, model developers, and engineers to ensure the platform aligns with user needs and evolving analytics use cases,