Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная зона ответственности в data engineering, востребованные инструменты Azure и обозначенные пути развития, но консалтинговая работа может означать смену проектов и разные требования клиентов.
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Клиентские проектыСовременный стекПути развитияДопуск к безопасности
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Azure): Building and maintaining data platforms and pipelines for public- and private-sector clients with an accent on data ingestion, storage, modelling, movement, and large-scale datasets. Focus on designing Azure-based solutions, implementing streaming and ETL systems, communicating architecture, and coaching junior engineers.
Location: London, United Kingdom
Company
hirify.global delivers IT transformation and delivery services to public- and private-sector organisations across multiple industries.
What you will do
Apply data engineering techniques to solve complex client problems involving data ingestion, storage, modelling, and movement.
Build, deploy, and maintain data platforms and pipelines, including new data features through prototyping and implementation.
Collaborate with technical and non-technical stakeholders to model data and engineering processes and develop data-driven solutions.
Communicate architecture and findings effectively and support engineering infrastructure with development and business teams.
Share expertise, improve engineering processes, and coach junior team members.
Support pre-sales, knowledge sharing, and the creation of data offerings and accelerators.
Requirements
4+ years of data engineering experience.
Expertise in Azure services, including Databricks, Data Factory, Data Lake, and SQL.
Experience with streaming technologies such as Event Hubs and Kafka, as well as APIs, ETL, and large and complex datasets.
Proficiency in Python, R, SQL, and data modelling techniques including Kimball and Star Schema.
Professional certifications in data engineering.
Strong communication, analytical, and problem-solving abilities; self-motivated, collaborative, and committed to continuous learning.
Experience delivering customer value through Agile delivery methodology.
Must be eligible for Security Clearance.
Nice to have
Public- or private-sector experience and familiarity with data engineering regulations.
Knowledge of AWS, Oracle ODI, DataOps, or DevOps.
Contributions to open-source projects or data engineering forums.
Knowledge of Git, version control, code testing, and validation in notebooks and data pipelines.
Culture & Benefits
Access to the hirify.global Academy with courses, seminars, certifications, and development of technical, managerial, leadership, and strategic skills.
25 days’ holiday, private medical healthcare via Vitality, pension contribution, and life assurance.
Support for professional certifications as part of learning and development.
Retail discounts and access to Employee Resource Groups.
Low-bureaucracy, agile, and flexible culture with opportunities for career growth in architecture, expertise, or generalist tracks.
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