Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden хорошо определена senior-роль в интеграции данных с задачами по развитию пайплайнов и внедрению AI, но широкий набор технологий, требования к языкам и допуску заметно сужают круг подходящих специалистов.
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Широкий стекВысокий порог входаСовременные технологииАэрокосмическая отрасльПостоянная работа
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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