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1 день назад

Data Engineer (Senior) (AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain/Italy/Germany +2 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
Data Engineer (Senior) (AI) (Databricks/PySpark): Building and governing a central customer data ecosystem and semantic layer across 60+ brands with an accent on scalable data products, ETL/ELT pipelines, and data quality. Focus on designing secure architectures, optimizing SQL and pipeline performance, and supporting Analytics, ML, and AI use cases.

Location: Fully remote, available in Belgium, Greece, Italy, Spain, or Germany

Company

hirify.global is an ecosystem of more than 60 hosting, SaaS, e-commerce, compliance, marketing, and collaboration brands serving 3.5 million customers across Europe and beyond.

What you will do

  • Develop and maintain the central customer data ecosystem across more than 60 brands.
  • Design scalable data products that provide a unified source of truth for business intelligence, operations, and AI initiatives.
  • Build and optimize ETL/ELT pipelines for large volumes of structured and unstructured data.
  • Lead secure, cost-efficient data architecture and establish practices for modeling, orchestration, observability, and governance.
  • Implement data lineage, metadata management, versioning, schema evolution, and quality controls.
  • Collaborate with Analytics, ML, and AI teams, optimize pipeline and query performance, and mentor junior engineers.

Requirements

  • 7+ years of professional experience in data engineering or data management.
  • Deep hands-on experience with Databricks, PySpark, Delta Lake, and Unity Catalog, or extensive experience with open table formats.
  • Expert SQL and data modeling skills, including dimensional, star schema, and snowflake techniques.
  • Experience with at least one major cloud provider and orchestration tools such as Airflow or dbt.
  • Strong command of Docker, Kubernetes, CI/CD, GitLab or GitHub, data versioning, schema evolution, and distributed metadata management.
  • Advanced degree in Computer Science, STEM, or a related quantitative field.

Culture & Benefits

  • Fully remote work within the listed European locations.
  • Respect, openness, trusted collaboration, and inclusion are core values.
  • Visa sponsorship and relocation packages are not available.
  • Applicants must provide proof of eligibility to work in the country of application.
  • Commitment to environmental and social responsibility through ongoing ESG initiatives.

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