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Software Engineer, Data Platform Insights

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer, Data Platform Insights (Python/Databricks): Building and maintaining frameworks, libraries, and automations for high-quality data models, metrics, and BI reports with an accent on scalability, reliability, and developer experience. Focus on CI/CD workflows, data governance via DataHub, and observability across the data platform.

Location: Warsaw, Poland

Company

One of the fastest-growing tech companies in Europe and Africa with over 200 million customers in 50+ countries.

What you will do

  • Build and maintain Python frameworks and libraries for developing data models and metrics on Databricks.
  • Collaborate with analysts and analytics engineers to streamline workflows and data product development.
  • Maintain and extend DataHub as the central data governance portal.
  • Develop CI/CD workflows with GitHub Actions for validating, testing, and deploying data products.
  • Administer Looker as the primary BI interface.
  • Enhance observability, documentation, and developer experience in the data platform.

Requirements

  • 3–4 years of experience as a software or data engineer building and deploying data pipelines or analytics workloads in cloud environments.
  • Proficiency in Python and SQL for production-ready code in libraries, pipelines, and automation.
  • Knowledge of modern CI/CD practices, automation, testing, and observability.
  • Excellent communication skills and fluency in spoken and written English.
  • Drive to improve team productivity and data product quality.

Nice to have

  • Experience with Databricks, Spark, dbt, Looker, or DataHub.
  • Interest in AI-assisted analytics or developer productivity tools.

Culture & Benefits

  • Inclusive environment welcoming everyone regardless of background.
  • Focus on making cities for people, not cars.
  • Collaborative culture with technical and non-technical teams.

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