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9 часов назад

Lead Data Engineer (Databricks)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
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
Lead Data Engineer (Databricks): Building and evolving a scalable, governed, AI-ready enterprise data platform with an accent on data warehouses, data lakes, and high-performance ETL/ELT pipelines. Focus on migrating legacy data models, developing batch and real-time processing solutions, and enabling analytics, automation, and AI use cases.

Location: Krakow, Poland

Company

hirify.global is a people-oriented, multicultural organization focused on safety, ethics, and digital innovation.

What you will do

  • Build and maintain scalable enterprise data warehouses, data lakes, and monitoring applications.
  • Drive migration from legacy data models and develop high-performance ETL/ELT pipelines using Databricks, SQL, Python, and PySpark.
  • Integrate, transform, and standardize data across Supply Chain, Finance, Sales, Marketing, and other enterprise systems.
  • Develop and optimize batch, near-real-time, and real-time data processing solutions.
  • Provide technical leadership in the Databricks environment, mentor data engineers, and establish engineering standards.
  • Partner with business and technology stakeholders to deliver governed data solutions for analytics, scenario planning, intelligent automation, and AI use cases.

Requirements

  • 10+ years of experience in data engineering, data warehousing, analytics engineering, or related fields.
  • Bachelor’s degree in IT Engineering, Information Systems, Analytics, or a related discipline; a master’s degree is preferred.
  • Strong expertise in SQL, Python, data modeling, ETL/ELT development, and data warehouse architecture.
  • Hands-on experience with Databricks, Databricks Apps, PySpark, data lake architecture, API development, Git, and DevOps.
  • Knowledge of Azure Data Platform, Azure Data Factory, machine learning enablement, data security and governance, compliance, and Power BI.
  • Ability to lead large-scale data transformation initiatives, translate business requirements into scalable solutions, and collaborate with multicultural stakeholders.

Nice to have

  • Knowledge of Supply Chain processes and ERP/SAP environments.
  • Master’s degree in a related field.

Culture & Benefits

  • Collaborative and multicultural working environment.
  • People-oriented culture with opportunities to contribute ideas and experience.
  • Opportunity to support a long-term enterprise data transformation journey.
  • Safety and ethics are core organizational priorities.

Hiring process

  • Applications are reviewed by a Talent Acquisition Partner.
  • Candidates receive updates and support throughout the application process.

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