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5 дней назад

Senior Data Engineer (Ab Initio)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (Ab Initio): Building and operating reliable, scalable data pipelines and modern data platform solutions with an accent on ETL/ELT development, data integration, modeling, and quality. Focus on workflow orchestration, performance optimization, DataOps automation, governance, and secure data provisioning for analytics, reporting, and AI applications.

Location: Hybrid position in Valencia, Spain

Company

hirify.global builds modern, secure, and scalable data solutions that support analytics, reporting, AI applications, and data-driven business decisions.

What you will do

  • Design, develop, maintain, and operate reliable and scalable ETL/ELT data pipelines, including workflow orchestration and automation with Ab Initio.
  • Integrate data from internal and external sources and provide data efficiently and securely.
  • Design and maintain logical and physical data models across relational and NoSQL databases, Data Warehouses, Data Lakes, and Lakehouses.
  • Monitor, troubleshoot, and optimize data platforms for performance, availability, and operational reliability.
  • Implement automated data quality checks, investigate root causes, and maintain trustworthy data assets.
  • Apply Data Governance, Information Security, compliance, metadata management, and audit requirements while collaborating with analysts, scientists, engineers, architects, and business stakeholders.

Requirements

  • Strong SQL skills and experience with relational databases; NoSQL experience is a plus.
  • Proficiency in at least one programming language: Python, Scala, R, or Java.
  • Hands-on experience designing, developing, and maintaining ETL/ELT pipelines using graphical ETL tools such as Ab Initio, Informatica, Pentaho, or similar.
  • Experience with workflow orchestration, scheduling, and monitoring using Apache Airflow or similar tools.
  • Understanding of data modeling principles and experience with Data Warehouses, Data Lakes, or Lakehouse architectures.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Experience with DataOps practices, CI/CD pipelines, automation, APIs, interfaces, and data integration patterns.
  • Understanding of data quality, validation, monitoring, performance optimization, Data Governance, Information Security, and data protection requirements.
  • Strong analytical, problem-solving, communication, and collaboration skills, with ownership and commitment to continuous learning and improvement.
  • Professional working proficiency in English is required.

Nice to have

  • German language skills.
  • NoSQL database experience.

Culture & Benefits

  • Hybrid work in Valencia.
  • Collaborative environment with daily communication, idea sharing, personal development support, and shared success.
  • Team activities include morning daily meetings and afterwork drinks.
  • Applicants are encouraged to apply even when their qualifications do not match every requirement.

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