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1 час назад

AWS Data Engineer (Databricks)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

AWS Data Engineer (Databricks): Designing and operating scalable data pipelines and cloud analytics platforms with an accent on PySpark, Delta Live Tables, and data governance. Focus on optimizing SQL queries, implementing Unity Catalog, and deploying infrastructure via Databricks Asset Bundles.

Location: Must be based in the European Union (EU) region and possess a valid work permit.

Company

hirify.global is a global AI-first digital transformation and engineering partner specializing in AI, Data, and Cloud solutions.

What you will do

  • Design, develop, and maintain scalable data pipelines using Python and PySpark.
  • Build and operate Delta Live Tables pipelines in both streaming and triggered modes.
  • Configure Databricks compute and implement data governance via Unity Catalog.
  • Diagnose and optimize slow SQL queries on large Delta tables.
  • Define and deploy Databricks resources using Databricks Asset Bundles.
  • Collaborate with analytics teams and platform stakeholders to establish best practices for reliability and maintainability.

Requirements

  • Strong experience with AWS Databricks and building scalable pipelines using Python and PySpark.
  • Hands-on experience with Delta Live Tables and Unity Catalog.
  • Ability to optimize complex SQL queries on large datasets using a structured approach.
  • Experience using Databricks Asset Bundles for infrastructure as code.
  • Must be based in the European Union (EU) and have a valid work permit.
  • Practical experience using AI-powered assistants such as GitHub Copilot, Cursor, or Claude Code.

Nice to have

  • Familiarity with CI/CD practices for data platforms and streaming architectures.
  • Knowledge of the broader AWS data ecosystem and cost optimization.
  • Experience mentoring other data engineers.
  • Interest in applying GenAI, agent-based workflows, and AI-augmented development in the SDLC.

Culture & Benefits

  • People-first culture with a strong emphasis on engineering excellence.
  • Continuous focus on professional growth and knowledge sharing.
  • Work within a global team of experts across 16 countries.
  • Opportunity to work with high-profile clients across logistics and e-commerce domains.

Hiring process

  • CV review followed by an HR call.
  • Technical interview.
  • Client interview and final decision.

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