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14 часов назад

Senior Data Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia
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
Senior Data Engineer (GCP/Data Platforms): Building scalable data products, integration pipelines, and ML-ready datasets for digital marketplaces with an accent on GCP infrastructure, BigQuery optimization, and data quality. Focus on designing data lake and DWH workflows, enabling personalization and experimentation, and connecting customer data platforms with real-time data pipelines.

Location: Hybrid work environment in Belgrade, Serbia — SMG Offices, Milutina Milankovića 1i, 11070 Belgrade.

Company

hirify.global operates a European network of online marketplaces across real estate, automotive, general marketplaces, and finance and insurance.

What you will do

  • Build data tools and products used across multiple company data domains.
  • Design and develop GCP-based data integration pipelines for the data lake and data warehouse.
  • Maintain reliable data infrastructure through orchestration, documentation, monitoring, data quality checks, and operational improvements.
  • Develop transformations, dashboards, logical data warehouse models, and ML-ready datasets.
  • Support personalization, targeting, experimentation, and data activation across marketing channels.
  • Optimize BigQuery cost and performance and connect the data lake with the Customer Data Platform for real-time personalization.

Requirements

  • Bachelor’s degree in Engineering, Computer Science, Management Information Systems, or an equivalent field.
  • 5+ years of hands-on experience with cloud platforms, preferably GCP, including ingestion, processing, warehousing, monitoring, orchestration, and modeling.
  • Strong SQL and Python skills with solid analytical abilities.
  • Experience building pipelines with dbt, Cloud Functions, and Kafka Streams.
  • Knowledge of DevOps practices covering testing, deployment, configuration, monitoring, and documentation automation.
  • Ability to work autonomously and in decentralized teams; knowledge of Data Mesh is advantageous.

Nice to have

  • Experience with Elastic.
  • Knowledge of Data Mesh principles.

Culture & Benefits

  • Hybrid work environment focused on work-life balance.
  • 25 vacation days per year and private health insurance.
  • Team activities, fringe benefits, gym membership, and local store discounts.
  • Free LinkedIn Learning and an annual personal development budget.
  • Profit Growth Scheme, company phone, and provided work equipment.
  • International, collaborative working environment with opportunities for professional growth.

Hiring process

  • Submit a CV in English.
  • Additional documents may be included to provide relevant background.

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