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8 дней назад

Data Engineer (Lisbon-Portugal)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (SQL/PySpark/igaming): Building reliable, scalable data products, pipelines, and dimensional models for analytics and business decision-making with an accent on data mesh practices, data quality, and reporting-ready structures. Focus on designing end-to-end ingestion pipelines, optimizing complex queries and compute costs, and improving reliability through testing and schema evolution.

Location: Lisbon, Portugal. Hybrid working model with the possibility to work remotely up to 50% of the working time.

Company

hirify.global is an international gaming company operating land-based and online casino games, sports betting, and poker products.

What you will do

  • Design and develop data pipelines and products in SQL and PySpark, from ingestion to analytics-ready tables.
  • Create dimensional data models, including Kimball-style star schemas, for analysts and Power BI reports.
  • Implement business-rule-based data-quality tests, investigate failed loads, and improve reliability.
  • Tune jobs, evolve schemas and pipelines, reduce compute costs, and improve the existing codebase.
  • Document data products and engineering work in the project Git repository.

Requirements

  • Strong SQL skills, including writing and optimizing complex queries.
  • Experience with PySpark or Python in a data-engineering context.
  • Solid data-modeling knowledge, including Kimball-style star schemas.
  • Approximately 3–6 years of hands-on data-engineering experience and the autonomy to own work from source to reporting-ready data.
  • Collaborative mindset, clear communication skills, and comfort working in the gaming industry.
  • Professional English and availability to work in the hybrid Lisbon, Portugal model.

Nice to have

  • Power BI experience with semantic modeling, reporting, or governance.
  • Experience with data mesh or another decentralized data organization.
  • Airflow or a similar orchestration tool.
  • Automated data-quality testing with Great Expectations, Soda, or dbt tests.

Culture & Benefits

  • Opportunity to work on ambitious international projects within a growing group.
  • Collaborative, high-performing environment based on trust, autonomy, talent, and shared values.
  • Continuous learning, training, and career development through internal mobility.
  • Competitive salary and benefits package aligned with the local market.
  • International and collaborative environment with a focus on employee empowerment and impact.

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