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.
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Design and implement orchestration solutions using Dagster and dbt.
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Build and evolve core data pipeline capabilities in Python or Go, deploying to AWS infrastructure.
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Improve platform reliability, observability, and efficiency across the data stack.
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Enable analytics engineers by streamlining DataOps and tooling.
Qualifications:
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Proven experience with Python and/or Golang in a production environment.
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Deep understanding of orchestration tools and modern data workflow best practices (Dagster, Airflow, or Prefect).
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Experience with dbt
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Deep understanding of Spark (Databricks preferred)
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Strong AWS cloud engineering skills (Lambda, EC2, S3).
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Experience working with Terraform.
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Experience with CI/CD platforms (CircleCI preferred).
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Comfortable taking ownership of tasks with defined goals but flexible technical implementation.
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Passion for clean design, automation, and improving developer experience.
What We Offer:
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Join a rapidly scaling venture-backed company on the first floor.
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Highly competitive salary and equity package.
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Flexible, hybrid working environment with a high performing, mission-driven team.
