Lead Analytics Platform Developer

Ørsted

Gentofte Kommune

On-site

DKK 647,000 - 971,000

Full time

3 days ago
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Benefits offered by this job

Pension 11%
Health insurance
Five weeks holiday + 10 days off
Holiday allowance 3%
Vitality program
Phone + laptop
Staff club
Canteen

Job summary

Ørsted is seeking a Business Application Responsible for the Analytics Workspace, a JupyterHub-based platform built on cloud Kubernetes. You will co-develop with Commercial Digital Technology and guide testing and delivery to align with analytics, algo, and model development needs.

You will work within Data Science & Platforms, collaborating with quantitative developers, analysts, model developers, and technology partners to build a scalable platform supporting trading and revenue analytics.

Qualifications

  • Proficient Python development with solid engineering practices.
  • Hands-on experience with JupyterHub-based platforms and Kubernetes.
  • Experience with Airflow and cloud infrastructure in Azure/AWS or similar.
  • DevOps or MLOps topics; platform design and delivery.
  • Strong collaboration with stakeholders and clear communication.

Responsibilities

  • Owning the Analytics Workspace on the Trading & Revenue side.
  • Co-developing platform capabilities with Commercial Digital Technology.
  • Enable strong platform foundations for analytics, algo development, and ML use cases.
  • Support onboarding and day-to-day platform support for users.
  • Maintain best practices, tools, and templates for analytics engineering.
  • Drive platform roadmap, migrations, and adjacent ML tooling.

Skills

Python
JupyterHub
Kubernetes
Airflow
Cloud infra
DevOps
Communication

Tools

Jenkins
Azure
AWS
CI/CD

Job description

Join us in this role where you’ll be the Business Application Responsible for the Analytics Workspace, a JupyterHub-based platform built on cloud Kubernetes and used across Trading & Revenue. You’ll co-develop the platform with Commercial Digital Technology, guide and test deliveries, and make sure the platform evolves in line with user needs across analytics, algo development, and model development.

Welcome to Analytics

You’ll be part of Data Science & Platforms, one of three teams in Trading & Revenue’s Analytics function, where you, together with your colleagues, will deliver the platforms and products behind trading and revenue decisions. You’ll work closely with quantitative developers, analysts, model developers, and Commercial Digital Technology to shape a reliable, scalable platform that supports both current users and new analytics capabilities. As a team, we value flexibility, experimentation, knowledge sharing, and collaboration. We care about building an inclusive environment where different perspectives help us create better solutions.

You’ll play an important role in:
  • owning the Analytics Workspace on the Trading & Revenue side, ensuring it remains reliable, relevant, and well aligned with business needs
  • co-developing platform capabilities with Commercial Digital Technology through coding, prototyping, reviewing pull requests, and defining acceptance tests
  • enabling strong platform foundations for analytics, algo development, and machine learning use cases, including compute, environments, data access, deployment, logging, and monitoring
  • supporting users through onboarding, day-to-day platform support, and close collaboration with stakeholders across Trading & Revenue
  • maintaining best practices, tools, templates, and ways of working for analytics engineering and the wider analytics community
  • driving the platform roadmap, including improvements, migrations, and adjacent capabilities such as machine learning, streaming and AI tooling.
To succeed in the role, you:
  • have strong Python development skills and apply sound engineering practices across testing, packaging, and CI/CD
  • bring hands-on experience with JupyterHub-based platforms, Kubernetes, Airflow and cloud infrastructure in Azure, AWS, or similar environments
  • work confidently across DevOps or MLOps topics and can contribute to platform design, delivery, and operational excellence
  • collaborate well with internal users and external engineering partners, and communicate clearly with both technical and business stakeholders
  • take ownership, build trust, and stay close to user needs while helping specialist teams contribute and co-own solutions
  • are motivated to grow your understanding of Trading & Revenue analytics, and you bring curiosity, structure, and a practical mindset to complex platform challenges.

As an applicant or employee, you may request reasonable work and position accommodation or adjustments via accommodation@orsted.com.

We don't take applications or inquiries from external recruiters or agencies into account for this position.

Position salary range

For this position, the expected base pay range is kr58,000.00- kr87,000.00 for the advertised location. The offered base salary will be determined within this range based on relevant skills, experience, and expected role fulfilment within the stated pay range to ensure a fair and competitive offer. Where applicable, you may also be eligible for variable payment and a comprehensive benefits package.

Our benefits package

For this position, employees who meet eligibility requirements have access to: employer‑paid pension (11% contribution), full insurance coverage (accident, life, critical illness, and health insurance); five weeks of paid holiday plus 10 additional paid days off per holiday year; a 3% holiday allowance; access to Ørsted Life & Fitness Vitality including fitness classes, physiotherapy, massage, and wellbeing programmes; a multimedia package (mobile phone, PC, internet); staff club membership with sport and cultural activities; and access to the company canteen (monthly lunch scheme or daily tickets).

Pre-employment background check

Certain positions may require a background check as part of the hiring process. If applicable, you will be informed during the recruitment process. Background checks are conducted by an external provider in accordance with local legal requirements.

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