Senior Software Engineer, Data Platform Insights

About Bolt Bolt is shaping a future where cities are built for people, not cars. What started as an ambitious project of a 19-year-old in 2013 has grown into a global mobility platform used by more than 200 million customers and 4.5 million driver and courier partners across 50 countries.

From ride-hailing and food delivery to scooters, e-bikes, and car-sharing, Bolt helps people move through cities every day. Small, autonomous teams drive this work, combining the speed and ownership of a startup with the scale of a global technology company backed by more than €1bn in funding.

And we're just getting started.

Why join Bolt?

• Build the future of mobility and help transform how people live and move in cities.
• Tackle challenges at scale that span technology, operations, regulation, and growth.
• Take real ownership early. Small, lean teams mean your decisions matter from day one, and you'll learn fast alongside some of the best people in the industry.
• Join one of Europe's leading technology companies, backed by world-class investors including Sequoia.

About The Role Engineers in the Insights team play a key role in shaping Bolt’s data ecosystem. We own the infrastructure that reliably delivers quality data wherever it’s needed. Data specialists use the tools we build to model and transform raw data into reusable, analysis-ready datasets.

We work across the stack - developer tools and frameworks with Python; managing infrastructure with AWS, Terraform, Databricks, and Kubernetes; automations with GitHub Actions and Airflow. We own some data pipelines, but they're not our primary focus.

Main Tasks And Responsibilities

• Own, provision, and improve the cloud infrastructure (AWS, Kubernetes, Databricks, Airflow) that runs 800+ daily workflows and supports thousands of data models and metrics.
• Build and maintain the internal Python tools and CI/CD pipelines that hide infrastructure complexity, so data teams can validate, test, and release their dbt models and data products more easily.
• Build and maintain the observability layers, alerting systems, and deployment pipelines that track the platform's health, uptime, and compute costs.
• Ensure customer success by defining, designing, and delivering intuitive solutions. Our engineers don’t sit and wait for tasks - they shape the platform’s direction.
• Raise our product and technical quality bar by promoting software engineering best practices.

About You

• You have at least 5 years of software engineering experience, including hands-on work with data-intensive systems and infrastructure-as-code in cloud environments.
• Proficient in Python or another mainstream OOP language. We care about adaptability and strong engineering fundamentals.
• You understand modern CI/CD practices and value observability, testing, and automation as core engineering principles.
• 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’re driven by customer success and have a track record of leading and delivering complex, cross-team projects.
• You’re familiar with modern data stack and platforms (Databricks, Delta Lake / Iceberg, or equivalents).