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16 часов назад

Data Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Greece
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
Data Engineer (AI) (SQL/Python): Building and operating GWI’s Business Data Platform, including reliable cloud data pipelines, analytics-ready models, and secure data access with an accent on data quality, lineage, documentation, and warehouse performance. Focus on designing end-to-end ingestion and transformation workflows, optimizing query and resource usage, and preparing trusted data for AI-assisted analytics and tooling.

Location: Athens, Greece; hybrid with 1 office day per week

Company

hirify.global provides verified consumer intelligence data that helps businesses understand audiences and make informed decisions.

What you will do

  • Build, operate, and monitor reliable data pipelines, infrastructure, and warehouse systems.
  • Design analytics-ready data models with clear lineage and documentation alongside analysts and stakeholders.
  • Apply testing and data quality practices to maintain dependable data products.
  • Optimize warehouse performance and costs through query tuning, efficient modeling, and resource management.
  • Manage secure data access so people and AI assistants can find, understand, and use trusted data.

Requirements

  • Strong track record delivering impactful work as a Data Engineer or Analytics Engineer, with proficiency in SQL and Python.
  • Hands-on experience with end-to-end ingestion, orchestration, modeling, transformation, and data quality on a cloud data stack such as BigQuery, Airflow, and dbt or equivalent tools.
  • Experience with Git, code reviews, testing, documentation, and CI/CD.
  • Comfort using AI-assisted development tools while carefully reviewing and testing their output.
  • Knowledge of data accessibility, cataloguing, and quality assurance.
  • Ability to scope, estimate, and deliver work independently in an Agile environment.
  • Strong communication with analysts and stakeholders.

Nice to have

  • Exposure to preparing data for AI use cases, including semantic and metrics layers, well-documented models, and LLM-based tooling such as RAG, embeddings, and vector databases.

Culture & Benefits

  • Permanent, full-time employee position.
  • High-tempo environment where change is common and products are built quickly.
  • Hybrid working arrangement with one required office day per week in Athens.

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