cloud engineer for data platforms

Enfint; Greater London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Enfint ищет опытного инженера по данным для руководства архитектурой и реализацией масштабируемых дата-конвейеров в облаке. Ваша роль включает сотрудничество с командами продуктов, аналитиками и инженерами ИИ, чтобы превращать сложные требования в технические решения.

Кандидат должен владеть опытом построения и эксплуатации data pipelines, различных трансформаций и сервисов API для аналитики в гибридной/облачной среде. Предлагаются конкурентные условия и устойчивое развитие.

Qualifications

• Требуется степень в области компьютерных наук, математики или смежной дисциплины.
• Опыт 5+ лет в роли Cloud/Data/Backend Engineer или аналогичной.
• Демонстративное техническое лидерство и способность руководить архитектурой.
• Опыт проектирования и поддержки сложных дата-конвейеров и платформ.
• Опыт в интеграции систем и обработке потоковых данных.

Responsibilities

• Архитектура и руководство сложными решениями по автоматизации данных, замещающими ручные процессы.
• Проектирование и сборка трансформационных конвейеров Bronze/Silver/Gold с логикой домена и качеством данных.
• Обеспечение домовой архитектуры платформы данных: ingestion, трансформации, оркестрация, governance.
• Гарантирование лучших практик по данным: схемы, валидации, производительность.
• Разработка масштабируемых сервисов и API для аналитических инструментов.
• Интеграция операционных систем и внешних приложений через пакетные и потоковые подходы.
• Сотрудничество с командами продуктов, аналитиками и инженерами ИИ для реализации требований.
• Установка архитектурных стандартов, проведение дизайн-ревью и документирование шаблонов.

Skills

Cloud leadership

Data pipelines

Python

Kubernetes

SQL/NoSQL

CI/CD

Education

Degree in Computer Science

Degree in Mathematics

Tools

Azure

AWS

Kubernetes

Python

SQL

Job description

Описание

Ocean Infinity uses and creates technology to transform operations at sea, helping people and the planet thrive. The company applies technology and creativity to modernize traditional maritime operations and develop more environmentally responsible ways to operate at sea.

Задачи

• Architect and lead complex data automation solutions that replace manual workflows with scalable, reliable data pipelines
• Design and build Bronze Silver Gold transformation pipelines with domain logic, data quality frameworks, and reproducible data products
• Own the data platform architecture, including ingestion frameworks, transformation patterns, orchestration strategies, and data governance standards
• Establish and enforce data engineering best practices covering schema evolution, data contracts, validation frameworks, and performance optimization
• Build scalable backend data services and APIs for analytics tools, product applications, and downstream consumers
• Lead the integration of operational systems, external applications, and sensor data using batch and streaming patterns
• Partner with product teams, data analysts, business stakeholders, and AI Engineers to translate complex data requirements into technical solutions
• Establish architectural standards, conduct design reviews, and document patterns that support team scalability and maintainability
• Evaluate and recommend data technologies, tools, and platforms to improve engineering productivity and data platform capabilities

Требования

• Degree in Computer Science, Mathematics, or a related field
• 5+ Years of experience as a Cloud Engineer, Data Engineer, Backend Engineer, or similar role
• Demonstrated technical leadership
• Experience architecting and maintaining complex data pipelines, transformation workflows, and data platform components for multiple downstream consumers
• Experience building event-driven and streaming data integrations at scale
• Expert knowledge of cloud data services across Azure or AWS ecosystems
• Production experience deploying and managing containerized services in Kubernetes environments
• Strong expertise with SQL and NoSQL systems, including schema design and optimization
• Knowledge of data governance processes, tools, and metadata management solutions
• Experience with infrastructure as code and platform engineering practices
• Experience implementing and maintaining CI/CD workflows
• Understanding of access control frameworks and security governance in hybrid environments
• Good programming skills in Python
• Excellent communication and leadership skills with the ability to influence technical direction
• Nice to have: experience with telemetry, sensor, location, and operational technology data platforms; large-scale video, image, and unstructured media datasets; feature engineering and machine learning data preparation; private cloud and on-premises environments; maritime, fleet, vessel operations, logistics, or industrial operational domains

Условия

Salary varies by regional location and job grade and is based on skills, abilities, and experience

Equal opportunities and an inclusive, respectful workplace