Data Engineer @ Bolt
(práce v Polsku)

Data Engineer @ Bolt

Polsko

• 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.

Kategorie

data

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