Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная область ответственности, актуальные практики работы с облачными данными и практическая связь с AI, хотя заявленный высокий темп может означать частые изменения.
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Высокий темпАктуальный стекДанные для AIПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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