We’re looking for a Software Engineer to join Bolt’s Data Platform Insights team. You’ll build and evolve the platform that helps Bolt teams create and manage high-quality data products — making data reliable and accessible, to power decisions at massive scale.

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About the role

As a Software Engineer in the Insights team, you will play a vital role in shaping the data ecosystem at Bolt. You will deliver frameworks, libraries, and automations that make it effortless to build, test, and deploy thousands of data models, metrics, and BI reports.

You’ll work closely with data producers to turn their toughest challenges into scalable, elegant platform solutions. We’re solving complex engineering problems at scale to ensure that Bolt’s data modelling ecosystem stays reliable, cost-effective, and performant.

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Main tasks and responsibilities:

Building and maintaining the frameworks and Python libraries that support developing high-quality data models and metrics on top of Databricks.

Working closely with analysts and analytics engineers to understand their workflows and remove friction in how they build and maintain data products.

Maintaining and extending DataHub as Bolt’s central data governance portal.

Building CI/CD workflows with GitHub Actions that validate, test, and deploy data products reliably.

Administer Looker - our Business Intelligence service and the main interface to data at Bolt.

Improving observability, documentation, and overall developer experience across the data platform.

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About you:

You have 3–4 years of experience as a software or data engineer, and have hands-on experience building and deploying data pipelines or analytics workloads in cloud environments.

You’re proficient in Python and SQL, developing production-ready code for internal libraries, data pipelines, and automation.

You have excellent communication skills, are fluent in spoken and written English, and you’re comfortable collaborating with both technical and non-technical colleagues.

You understand modern CI/CD practices and value automation, testing, and observability as core engineering principles.

You’re driven by customer success - motivated by helping teams be more productive and enabling them to build better data products.

Bonus points for experience with tools like Databricks, Spark, dbt, Looker, or DataHub, and interest in exploring AI-assisted analytics or developer productivity tooling.

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