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6 дней назад

Digital Data Engineer (Data Integration)

Формат работы
onsite
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
Digital Data Engineer (Data Integration): Designing, implementing, and deploying data integration pipelines across business, engineering, machine, drone, partner, customer, and government data sources with an accent on enterprise integration platforms, data quality, API-based services, and microservices migration. Focus on building large-scale pipelines, supporting UAT and deployment, analyzing platform performance, and enabling interoperability for Agentic AI initiatives.

Location: Getafe Area, Spain; other location: Sevilla Area

Company

hirify.global Defence and Space develops aerospace and defence products and digital capabilities.

What you will do

  • Design, implement, and deploy data integration activities within enterprise integration products for digital projects.
  • Define integration tasks for new use cases and requirements raised by Product Owners.
  • Manage UAT and deployment activities in coordination with Data Integration Product Operations Managers.
  • Analyze Data Integration Platform performance to support existing service-level agreements.
  • Support migration of existing pipelines to API-based microservices architecture and contribute to AI adoption initiatives.
  • Support data modelling, documentation, data quality checks, automated alerts, deployment plans, and technical architecture advice.

Requirements

  • University degree in an IT-related field.
  • English and Spanish at negotiation level.
  • Strong collaboration and communication skills.
  • Existing security clearance or eligibility to obtain one.
  • More than 5 years of relevant Data Engineer experience focused on data integration and data quality checks.
  • More than 5 years of hands-on experience building and developing data pipelines with enterprise data integration platforms, including middleware, ETL, ELT, and API platforms.
  • Experience with large-scale on-premises data pipelines and data from CSV, JSON, XML, relational databases, and other sources.
  • Deep experience with data integration programming languages and technologies, including Python, Flask, Node, JavaScript, and Express.
  • Experience producing technical and support documentation and translating business requirements into reporting and data models.
  • Proficiency in querying and managing relational and NoSQL databases.
  • Experience with API-based service technologies.
  • Understanding of microservices and event-driven architecture approaches, preferably in on-premises environments.
  • Knowledge of DevOps methods and tools, with at least 2–3 years of experience.
  • IT project management knowledge and basic experience with IT Service Management principles.
  • Basic knowledge of Data Analytics and AI principles and techniques.

Culture & Benefits

  • Permanent, full-time employment.
  • Work in a multidisciplinary team using classical and agile project management methodologies.
  • Flexible working arrangements are supported where possible to enable collaboration.
  • Inclusive workplace focused on diversity, equal opportunities, integrity, and compliance.

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