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17 часов назад

Senior Data Engineer (AWS, Databricks)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Serbia/Poland/Romania +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Data Engineer (AWS/Databricks): Building and optimizing a centralized cloud data platform for large-scale data ingestion and processing with an accent on scalable pipelines and data reliability. Focus on designing complex data models, integrating cloud-native services, and ensuring high performance across analytics workloads.

Location: Must be based in Belgrade, Cluj-Napoca, Krakow, Larnaca, Lodz, Lublin, Riga, Sofia, Varna, Warsaw, Wroclaw, or work remotely from Bulgaria or Poland

Company

A global IT consulting company providing advanced software engineering and data platform solutions for diverse business domains.

What you will do

  • Develop and maintain scalable data pipelines for ingestion, transformation, and storage.
  • Implement high-performance data processing solutions using Databricks and Spark.
  • Build and optimize data models to support complex analytics and reporting use cases.
  • Collaborate with data architects to align implementation with target standards and architecture.
  • Ensure data quality, reliability, and performance across the entire platform.
  • Integrate diverse data sources using cloud-native AWS services and tools.

Requirements

  • Professional experience as a Data Engineer in complex, large-scale data environments.
  • Hands-on experience building and managing data platforms on AWS.
  • Practical expertise with Databricks and Spark-based data processing.
  • Strong proficiency in data modeling and data warehousing concepts.
  • Advanced programming skills in Python and SQL.
  • Fluent English and French communication skills (C1) are required for professional environments.

Nice to have

  • Experience with data governance or data quality frameworks.
  • Exposure to real-time or streaming data architectures.
  • Experience collaborating with data science or machine learning teams.
  • Background working in enterprise-scale environments.

Culture & Benefits

  • Vacation and sick pay provided according to the laws of your country.
  • Health insurance assistance for employees and their loved ones.
  • Paid time off for official state holidays regardless of the client's schedule.
  • Supportive environment with corporate parties and regular team get-togethers.
  • Financial coverage for IT certifications and access to top-tier learning platforms.

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