Finance Data Engineer for AI-Driven Insights

Octopus Energy; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Octopus Energy is seeking a Finance Data Manager to drive data-led decision making across finance, supply chain and operations. You will deliver cleaned, up-to-date information and insights to support business decisions and scalability.

You will work with a modern data stack including Python, DBT, Databricks and data applications to enable AI-enabled dashboards and reports. A fast-paced, collaborative culture awaits with a focus on sustainability and growth.

Qualifications

• Experience in a finance team and with senior stakeholders.
• Proficiency in writing robust, performant SQL queries.
• Experience building robust data pipelines using Python and dbt.
• Strong analytical skills and commercial acumen.
• Experience in a fast-paced, dynamic environment.
• Comfortable manipulating and analyzing data in a scripting language.

Responsibilities

• Maintain, improve and coordinate monthly financial reports for C-suite.
• Create, maintain and optimise reporting for various streams of cost information.
• Use dbt and create semantic layers to inform AI-enabled dashboards, reports, and visualisations.
• Analyse and interpret data to track and improve commercial and operational performance.
• Collaborate with supply chain and operations teams to identify opportunities for growth, optimisation and better service delivery.
• Provide ad-hoc analysis and support as required.

Skills

SQL queries

Data analysis

Data pipelines

Python

dbt

Finance data experience

Scripting languages

Tools

Python

DBT

Databricks

Kubernetes

Orchestra

Terraform

Lightdash

Airflow

Astronomer

CircleCI

Parquet/Delta on S3

Spark

SparkSQL

Job description

Octopus Energy is seeking a Finance Data Manager to drive data-led decision making across finance, supply chain and operations. You will deliver cleaned, up-to-date information and insights to support business decisions and scalability.

You will work with a modern data stack including Python, DBT, Databricks and data applications to enable AI-enabled dashboards and reports. A fast-paced, collaborative culture awaits with a focus on sustainability and growth.