Job description
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, accessible, and ready to power better decisions and improved products.
With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it’s all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
As a Software Engineer in the Insights team, you’ll focus on building the developer experience for Bolt’s data users. You’ll design and maintain the frameworks, libraries, and automation that power data models, metrics, and BI reports — ensuring they’re easy to build, test, and deploy.
Working closely with analysts and analytics engineers, you’ll help them deliver reliable, trustworthy data faster, and turn their needs into scalable, well-designed platform solutions.
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 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.
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 Spark, dbt, Looker, or DataHub, and interest in exploring AI-assisted analytics or developer productivity tooling.
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!
#LI-Hybrid
