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# Data Platform Stack

- **Company:** Octopus Energy Ltd
- **Location:** UK
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Business Analytics Applications, Continuous Integration, Data Infrastructure, Github, Python (Programming Language), Octopus Deploy, Software Construction, Software Deployment, SQL Databases, Jupyter Notebook, Circleci, Pandas, Data Lakes, Kubernetes, Streamlit Framework, Terraform, Databricks
- **Published:** September 3, 2026
- **Apply:** https://jobs.lever.co/octoenergy/dfb64070-cade-4c38-a967-fc2527c0fbae/apply

## About the Role

* Experience as a manager of a high-performing data team.
 * Hands-on expertise with modern data platforms and analytical tools (especially SQL and python - see our full stack below).
 * Passion for both hands-on data work and leading teams to deliver insights.
 * Strong communication skills to influence non-technical stakeholders and senior leadership.
 * Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics.
 * A track record of delivering actionable insights that drive measurable business impact.

## Description

We continue to lead and redefine the energy market through innovative time-of-use tariffs and data-driven commercial strategies that transform how customers engage with energy. We empower customers with dynamic pricing and "Intelligent" EV charging, rewarding them for shifting consumption to greener, cheaper periods., * Lead UK team: Lead, set priorities, coordinate and review the work of a high-performance team of commercial and marketing data analysts.

 * Strategic analytics: Use data to guide our understanding of our customers and our competitors. Impact our UK and global strategy through insights presented to the senior leadership team.
 * Pricing operations: Enable us to react quickly to the ever-changing energy industry through smooth price changes, ensuring we offer good deals for our millions of customers and comply with regulations.
 * Metrics: Help people all across the business understand the key drivers of their operations through well-defined KPIs and intuitive dashboards. Examples of metrics include seeing why people churn, performance of marketing campaigns, lifetime value calculations etc.
 * Global cooperation: Prioritise and coordinate the data teams supporting Octopus' operations globally, balancing local needs with global opportunities., We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies:
 * Python, pandas and SQL in Jupyter notebooks for analysis
 * dbt and Databricks data platform with Delta Lake
 * Lightdash as our BI tool and semantic layer
 * Streamlit for interactive data applications
 * Airflow for orchestration
 * Kubernetes for application deployment
 * CI/CD with GitHub and CircleCI
 * Infrastructure on AWS, deployed with Terraform / Spacelift


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