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4 дня назад

Senior Data Engineer (Generative AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain, Netherlands, Italy
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 (Generative AI): Designing, scaling, and evolving hirify.global’s data platforms with an accent on architectural ownership, collaboration across teams, and applying Generative AI to production workflows. Focus on shaping platform direction, guiding engineers through best practices in data, cloud, and AI-enabled systems, and leading the design of scalable data architectures.

Location: Remote (Spain, Netherlands, Italy)

Company

hirify.global is the world’s largest communications firm, operating as an independent, family-run business grounded by shared values.

What you will do

  • Lead the design and evolution of scalable data architectures for batch, streaming, and AI-driven workloads.
  • Own end-to-end data pipelines from ingestion and transformation through to serving analytics and ML/GenAI use cases.
  • Mentor and guide data engineers through code reviews, design discussions, and architectural decisions.
  • Build and optimize data pipelines using Databricks, Spark (PySpark), Snowflake, Apache Airflow, and Terraform.
  • Design performant data models and lakehouse structures, leveraging AWS-native services.
  • Design data pipelines that power Generative AI applications and integrate 3rd party APIs for data enrichment and insight generation.

Requirements

  • 4+ years experience building and operating enterprise-scale data platforms, with ownership across the full lifecycle.
  • Strong hands-on experience with Databricks, Snowflake, Airflow, and distributed data processing.
  • Advanced Python and SQL, with production-quality engineering standards.
  • Proven experience designing and maintaining cloud-native data infrastructure on AWS.
  • Experience integrating Generative AI models (OpenAI, Claude or similar) into production data or analytics workflows.
  • Solid understanding of CI/CD, Infrastructure as Code, and DevOps practices for reliable data systems at scale.
  • English: B2 required.

Nice to have

  • Exposure to streaming architectures (Kafka or equivalent).

Culture & Benefits

  • Collaborative and open environment where every team member’s voice is valued.
  • Autonomy to shape solutions, trust to lead technically, and support to push the platform forward.
  • Opportunity to grow, make a meaningful impact, and help drive change alongside bright minds.
  • Culture built on trust, innovation, and inclusivity, celebrating unique perspectives.
  • Dedicated to building a diverse, inclusive, and authentic workplace.

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