Data Engineer @ Bolt

16 hours ago

Warszawa, Czech Republic Bolt Full time

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. 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. ,[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. ] Requirements: Python, SQL, CI/CD, Spark, dbt, Data Lake, Looker Additionally: Sport subscription, Private healthcare, Small teams, Free coffee, Shower, In-house trainings, In-house hack days, Bike parking, Playroom, Free snacks, Free beverages, Modern office, Startup atmosphere, No dress code, Free breakfast.

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