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17 часов назад

Senior Data Engineer (AI)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Serbia/Romania/Croatia +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Engineer (AI): Architecting and scaling robust ETL/ELT pipelines to support identity intelligence and fraud detection systems with an accent on ML operationalization and data synchronization. Focus on building synthetic data generation pipelines and optimizing cloud data warehousing for high-scale identity processing.

Location: Must have residency and work authorization in Croatia, Serbia, Romania, or Bulgaria

Company

hirify.global is an Identity Intelligence OS specializing in real-time identity control and deepfake detection for secure digital journeys.

What you will do

  • Design, build, and maintain robust ETL/ELT pipelines (batch and real-time) using Airflow, Dagster, or Prefect.
  • Operationalize ML models and streamline feature engineering in partnership with Data Science and ML teams.
  • Automate data flows and enhance internal analytics efficiency using dbt.
  • Develop synthetic data generation pipelines to support model training and privacy-safe testing.
  • Drive engineering excellence through Agile ceremonies, code reviews, and CI/CD practices.
  • Design systems ensuring strict adherence to security, privacy, and data governance policies.

Requirements

  • Expert-level proficiency in Python for data manipulation and backend development.
  • Deep experience with cloud data warehousing (Google BigQuery, Snowflake, or AWS Redshift) and scalable data modeling.
  • Advanced SQL skills and strong architectural understanding of relational (PostgreSQL) and non-relational databases.
  • Strong foundations in software engineering, including OOP and Git version control.
  • Mandatory residency and work authorization in Croatia, Serbia, Romania, or Bulgaria.

Nice to have

  • Familiarity with the machine learning development lifecycle.
  • Experience with Docker and Kubernetes for deploying data applications.
  • Hands-on experience with MongoDB.
  • Infrastructure as Code experience using Terraform.
  • Proficiency in the broader GCP or AWS ecosystems.

Culture & Benefits

  • Equity participation for all full-time employees.
  • Unlimited PTO to maintain a healthy work-life balance.
  • Location-specific benefits tailored to country standards.
  • Flexible work arrangements, including remote options or office-based work in Zagreb or New York.
  • Internal L&D programs and a supportive professional development environment.

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