sqloracleazuredata modelingpysparkdata pipelinesmicrosoft fabricmicrosoft purviewchange data capture
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$65к$98кмедиана$123к
11 в выборке
На СНГ рынке: $3.5к/мес ($3к - $4.3к)
78
Хорошая вакансия
развернуть
Роль чётко связана с масштабной модернизацией платформы данных с Oracle на Fabric, а обучение и льготы выглядят убедительно; консалтинговый формат может означать работу над разными клиентскими проектами.
?Клиентские проекты
Современный стек
Понятные задачи
Развитие и обучение
Поддержка баланса
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer (Microsoft Fabric) (Microsoft Fabric/PySpark/SQL): Building and modernising enterprise data pipelines and analytics solutions while migrating an Oracle platform to Microsoft Fabric with an accent on real-time replication, data modelling, and governed cloud-native architectures. Focus on designing scalable ingestion and orchestration frameworks, implementing CDC and Fabric Mirroring, and improving data quality, performance, and operational efficiency.
Location: Dublin, County Dublin, Ireland; hybrid
Company
hirify.global is a 30-year technology and transformation services company and a UK & Ireland premier AWS, Microsoft, and Oracle partner, with more than 3,300 employees.
What you will do
Design, develop, and deploy end-to-end data pipelines and scalable data integration solutions in Microsoft Fabric.
Implement Change Data Capture, Fabric Mirroring, real-time replication, and unified analytics capabilities.
Migrate semantic models and analytical workloads from Oracle to Microsoft Fabric.
Build metadata-driven ingestion and orchestration frameworks and robust analytics data models.
Perform integration testing, data quality validation, and Microsoft Purview scanning, cataloguing, and governance enablement.
Collaborate with architects, analysts, developers, and business stakeholders in Agile delivery teams while improving platform performance and scalability.
Requirements
6+ years of Data Engineering experience delivering enterprise-scale data solutions.
Strong hands-on experience with Microsoft Fabric, including Lakehouse, Data Warehouse, Data Factory, Notebooks, Semantic Models, and Fabric administration concepts.
Excellent coding skills in PySpark and SQL, including complex transformations and performance optimisation.
Experience designing, developing, and deploying end-to-end data pipelines and scalable ETL/ELT frameworks.
Experience implementing CDC solutions and real-time or near-real-time data processing architectures.
Experience with Microsoft Fabric Mirroring and data replication technologies.
Strong understanding of data modelling for analytics and reporting, cloud data warehouse and lakehouse architectures, and data quality, testing, and validation practices.
Experience working effectively within Agile delivery teams.
Experience developing metadata-driven ingestion and orchestration frameworks.
Experience with large-scale data platform migration and modernisation programmes.
Experience with Microsoft Purview, including data scanning, cataloguing, lineage, and governance.
Experience with Oracle databases, Oracle-to-Fabric migration, enterprise reporting and analytics, or Azure Data Platform technologies.
Microsoft Fabric, Azure Data Engineer, or related Microsoft certifications.
Culture & Benefits
Flexible and remote working options supporting work-life balance, with the role operating in a hybrid arrangement.
Quarterly performance-related profit share, pension, private healthcare, life assurance, financial advice, and employee discounts.
Generous holiday allowance, enhanced maternity and paternity leave, marriage or civil partnership leave, and special leave policies.
Career progression, mentorship, quarterly career development programmes, educational assistance, and incentivised certifications.
Wellbeing benefits including gym discounts, Bike to Work, fitness classes, mindfulness workshops, and an Employee Assistance Programme.
Inclusive workplace initiatives supporting diversity, inclusion, belonging, and reasonable adjustments during recruitment.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →