Gridsight is a rapidly growing Grid/CleanTech startup on a mission to accelerate global electrification and decarbonisation. We are building a vertical SaaS platform for electricity utilities, enabling them to modernise grid operations and unlock transformational capabilities such as dynamic operating envelopes and flexible interconnections. Having recently raised our Series A funding from Airtree Ventures, Energy Transition Ventures and Area VC, we are poised for rapid growth and are seeking talented individuals to join us on our mission.

As a Senior Product Data Engineer at Gridsight, you’ll be working on our core data platform, supporting analytics engineers, data scientists, and our application software engineering team.

Key Responsibilities:

• Design and implement orchestration solutions using Dagster and dbt. 
• Build and evolve core data pipeline capabilities in Python or Go, deploying to AWS infrastructure.
• Improve platform reliability, observability, and efficiency across the data stack.
• Enable analytics engineers by streamlining DataOps and tooling.

Qualifications:

• Proven experience with Python and/or Golang in a production environment.
• Deep understanding of orchestration tools and modern data workflow best practices (Dagster, Airflow, or Prefect).
• Experience with dbt
• Deep understanding of Spark (Databricks preferred)  
• Strong AWS cloud engineering skills (Lambda, EC2, S3).
• Experience working with Terraform.
• Experience with CI/CD platforms (CircleCI preferred).
• Comfortable taking ownership of tasks with defined goals but flexible technical implementation.
• Passion for clean design, automation, and improving developer experience.

What We Offer:

• Join a rapidly scaling venture-backed company on the first floor.
• Highly competitive salary and equity package.
• Flexible, hybrid working environment with a high performing, mission-driven team.