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Joyful Craftsmen

Data platform-centric end-to-end data consultancy

Data Engineer

Data EngineeringUpdated on Nov 13
Full-timeNo salary listed

About the Job

Requirements

  • Practical experience with Databricks.
  • Strong practical knowledge of PySpark and Delta Lake.
  • Good understanding of big-data processing, data pipelines, and production data engineering.
  • Experience with CI/CD pipelines and Jenkins.
  • Knowledge of DevOps and MLOps approaches in the context of data engineering.
  • Ability to work independently and take ownership.
  • Strong analytical thinking and problem-solving ability.

Responsibilities

  • Design, develop, and optimize Databricks data pipelines using PySpark and Delta Lake.
  • Develop and maintain robust, scalable big-data solutions with emphasis on performance and reliability.
  • Support automation and orchestration of data workflows using Jenkins.
  • Apply DevOps and MLOps principles for smooth deployment and production operations.
  • Contribute to production operations optimization, including cost efficiency (FinOps).
  • Use Databricks Asset Bundles for standardized, repeatable deployments.
  • Collaborate closely with stakeholders, actively clarify requirements, and constructively challenge unclear assignments.
  • Monitor, troubleshoot, and continuously improve existing data pipelines.

Desired Qualifications

  • Experience in banking or financial services.
  • Knowledge of FinOps or cost optimization in cloud platforms.
  • Databricks Associate or Professional certification.

About the Company

Joyful Craftsmen

Data platform-centric end-to-end data consultancy

Joyful Craftsmen provides end-to-end data consulting services to help enterprises manage and use data, with a focus on designing and implementing solutions on the Microsoft Data Platform. It builds tailored data platforms, pipelines, analytics, reporting, and AI deployments, plus managed data services for governance, quality, security, and user support. The company differentiates itself through craftsmanship, professionalism, and close collaboration, delivering customized, AI-powered solutions rather than one-off projects. Its goal is to enable data-driven decisions by creating reliable data infrastructure and governance that are secure, scalable, and capable of delivering actionable insights.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Czechia
Founded
2014

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