We're looking for a Senior 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.
About us
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, national origin, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
About the role
Engineers in the Insights team play a key role in shaping Bolt's data ecosystem. You will own the infrastructure and frameworks that streamline development, testing, and maintenance of data products - turning petabytes of data into reusable models and metrics. Teams across the organisation will create dashboards, custom data applications, and chat with data using the tools you will provide.
In this role, you will work closely with the data producers and consumers to understand their needs and challenges, continuously seeking improvements, and driving complex projects from idea to completion.
We work with a wide range of technologies - Python libraries and CLIs; dbt for data modelling, workflows orchestration and execution with Airflow and Databricks; infrastructure with Terraform, AWS, and Kubernetes
- Own and evolve the foundational infrastructure and frameworks that support building, testing, and deploying dbt on Databricks, with 3,500+ dbt models.
- Ensure customer success by helping data practitioners use the platform effectively and in a self-service manner.
- Keep 800+ daily Databricks jobs reliable, observable, and cost-efficient with an observability layer that detects pipeline failures and surfaces areas for improvement.
- Keep Looker running smoothly for the 4,000 Bolt employees, serving 300,000 queries daily over petabytes of data.
- Seek and enable new ways to use data, such as chatting with data agents.
- Building CI/CD workflows with GitHub Actions that validate, test, and deploy data products reliably.
- You have at least 5 years of software engineering experience, including hands-on experience with large-scale distributed data systems or compute engines like Apache Spark.
- Proficient in Python or another mainstream OOP language. We care about strong engineering fundamentals and adaptability.
- Familiar with the modern data stack (dbt, Databricks, Airflow, Delta Lake, or equivalents).
- You have excellent communication skills, are fluent in spoken and written English, and you're comfortable collaborating with both technical and non-technical colleagues.
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