Highview Power is a small but growing global organisation who are leading the way towards a cleaner, more efficient and secure energy future.
Our proprietary long duration, zero emissions energy storage system utilises cryogenic technology and surplus electricity; at times of low demand/low cost, to make liquid air which can be stored and later converted back into energy and released into the grid, at times of high demand/high cost.
This award-winning technology has been dubbed as "the missing link" to making Renewable Green Energy sources a more resilient, reliable and cost-effective option when compared with traditional fossil fuel alternatives.
Highview Power values it's employees and are committed to creating a positive, inspiring and inclusive working environment.
Job Summary / Purpose Of The Role
Join our team building robust data ingestion and transformation pipelines for grid-scale energy analytics.
You'll work on Python-based data grabbers, dbt transformations, and analytical models in PostgreSQL, ensuring our trading, forecasting, and monitoring systems have clean, timely, and well-structured data. Collaborate with analysts and developers to automate data flows and generate consistent analytical outputs and reports.
We are seeking a Data Engineer to develop and maintain data pipelines supporting trading systems, grid analytics, and operational dashboards for large-scale energy storage and market forecasting. You'll focus on data ingestion, transformation, modelling, and report automation, ensuring data consistency, traceability, and performance across our analytical stack.
In return, Highview Power will provide the successful candidate with training and development opportunities, competitive salary and the chance to be a part of building a cleaner, greener, better future for everyone.
Requirements
Essential
- BSc Degree or equivalent qualification/experience in Computer or Data Science
- Strong Python programming skills (especially for API data ingestion and ETL)
- Advanced SQL and data modelling experience with PostgreSQL
- Proficiency with dbt for transformation pipelines and version-controlled data models
- Experience managing data pipelines in GitHub Actions or similar CI/CD systems
- Solid understanding of data quality, testing, and reproducibility principles
Desirable
- MSc Degree or equivalent qualification/experience in Computer or Data Science
- Familiarity with Apache Superset or similar BI tools
- Experience working with time-series or market data
- Exposure to AWS-based analytics environments (EKS, S3, CloudWatch) as a user or contributor, not admin
- Interest in energy markets, grid operations, or related analytical domains
Benefits
- Private Medical and Dental Insurance
- Financial Wellbeing Support Platform, including hunting down lost pensions, access to Independent Financial Advisors, and retail discounts
- Attractive salary package
- Annual salary review at management's discretion
- 25 days of paid annual leave
- Automatic enrolment in the pension scheme after 3 months of service, with the option for salary sacrifice
- Season ticket loan available
- Opportunities for Learning and Development
