Назад
Company hidden
5 дней назад

Data Engineer – AI & Data Platforms (AI)

40 000 - 54 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Engineer – AI & Data Platforms (AI): Building production data pipelines and reusable data products for analytics, applications, RAG, retrieval, evaluation, and agent-enabled systems with an accent on data quality, lineage, observability, and cloud data platforms. Focus on preparing structured and unstructured enterprise data, maintaining vector and hybrid search infrastructure, and balancing reliability, scalability, security, performance, and cost.

Location: Madrid, Spain; hybrid model with monthly travel to Madrid or Lisbon

Gross salary: €40,000–€54,000 per year, paid in 14 instalments with an option for 12 instalments from day one.

Company

hirify.global is an international AI and data consulting group with more than 30 years of experience, 2,800 employees, and operations across 28 countries, helping organisations industrialise AI and build reliable intelligence foundations.

What you will do

  • Design, build, test, and operate production data pipelines and reusable data products from enterprise source systems to consumption layers.
  • Develop data models, transformation logic, data contracts, lineage, metadata, quality, testing, monitoring, and observability controls.
  • Prepare structured and unstructured data for analytics, applications, RAG, retrieval, grounding, embeddings, semantic context, evaluation datasets, and agent-enabled systems.
  • Engineer ingestion and processing across APIs, databases, files, documents, events, change data capture, batch, and streaming sources.
  • Operate cloud data workloads while balancing reliability, scalability, security, access, maintainability, performance, and cost.
  • Collaborate with AI, software, analytics, architecture, and governance teams; document and reuse effective data patterns across client engagements.

Requirements

  • Degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience.
  • Strong hands-on experience designing, building, and operating production data pipelines and data products.
  • Deep practical expertise in at least one major cloud data ecosystem, with transferable knowledge of comparable technologies.
  • Strong SQL and data-modelling fundamentals, plus production engineering capability in Python or another commonly used data-engineering language.
  • Experience implementing data quality, testing, monitoring, lineage, or observability in production workflows.
  • Experience preparing structured and unstructured data for AI or GenAI use cases, including RAG, embeddings, semantic context, evaluation datasets, and vector or hybrid search infrastructure.
  • Experience with distributed processing, orchestration, modern transformation approaches, and batch ingestion plus APIs, change data capture, event-driven processing, or streaming.
  • Working knowledge of CI/CD, automated testing, version control, and repeatable deployment for data solutions; ability to rapidly prototype working proofs of concept.
  • Professional fluency in Spanish and English, written and spoken; availability for monthly travel to Madrid or Lisbon.

Nice to have

  • Experience with semantic layers, knowledge graphs, ontologies, enterprise knowledge architectures, or data foundations for agentic and complex GenAI applications.
  • Experience with real-time or high-volume streaming architectures, ML data pipelines, feature stores, MLOps integration, or BI dashboards.
  • Experience in regulated, high-security, or data-sovereignty-sensitive environments.
  • Consulting or client-facing experience and exposure to international or multicultural projects.

Culture & Benefits

  • Collaborative, international, human-centred environment focused on knowledge sharing, trust, curiosity, and continuous learning.
  • 22 days of annual leave, increasing up to 26 days, plus 14 Madrid public holidays and company holidays on December 24 and 31 when they fall on working days.
  • Private Sanitas medical insurance with no copays and dental coverage, plus flexible transport and daycare benefits.
  • €1,800 annual net meal allowance and an annual performance bonus.
  • Continuous learning through KLX – hirify.global Learning Experience.
  • AI tools are strictly prohibited during the interview process; use may result in immediate disqualification.

Hiring process

  • Recruitment stages are conducted and evaluated by human recruiters and interviewers; AI may be used internally only for interview note-taking.
  • Candidate use of AI assistance during interviews is prohibited and may lead to immediate disqualification.

Будьте осторожны

Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →