Software Engineer, Data Platform Insights

Requirements:

• 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.

Nice to Haves:

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

What You'll Be Doing:

• 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.
• Administering Looker - their Business Intelligence service and the main interface to data at Bolt.
• Improving observability, documentation, and overall developer experience across the data platform.

Perks and Benefits:

• Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!