Data Factory Engineer (Microsoft Fabric/Databricks)
Контакты
38 000 - 45 000€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Italy
pythonsqletlci cdsparkdatabricksazure data factorypysparkdataopsmicrosoft fabric
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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€38к-45к/год
€46к€51кмедиана€60к
По похожим ролям (15) ~ €51к/год
На СНГ рынке: $3.5к/мес ($2.8к - $4.3к)
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Хорошая вакансия
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Роль чётко сфокусирована на современной инженерии данных, включает зрелые практики для production и постоянный контракт; требование права на работу в Италии и присутствия в Неаполе ограничивает доступность вакансии.
Только с правом на работу
Современный стек
Чёткие задачи
Постоянный контракт
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Factory Engineer (Microsoft Fabric/Databricks): Designing, developing, and operating secure, scalable batch and near-real-time data pipelines across on-premises and cloud environments with an accent on Microsoft Fabric, Databricks, ETL/ELT, and data quality. Focus on building reusable data platform components, implementing CI/CD and automated testing, optimizing Lakehouse workloads, and ensuring observability, security, and operational reliability.
Location: Naples, Italy; hybrid working model with 2 days per week remotely. Right to work in Italy required.
Gross annual salary: €38,000–€45,000 gross per year, paid over 14 monthly installments.
Company
hirify.global is a brand of MSC Cruises operating in the travel and hospitality sector.
What you will do
Design, build, test, deploy, and maintain backend data pipelines for ingestion, transformation, orchestration, and delivery across on-premises and cloud environments.
Develop ETL/ELT solutions for relational databases, enterprise data warehouses, flat files, APIs, scheduling tools, and existing integration technologies.
Contribute to the Microsoft Fabric and Databricks target platform using Lakehouse patterns, OneLake, Fabric Data Factory, notebooks, Spark, Delta Lake, workflows, and SQL endpoints.
Implement reusable, metadata-driven and configuration-driven pipelines with incremental processing, change data capture, schema evolution, partitioning, and medallion-style data layers.
Build automated data quality, reconciliation, lineage, logging, alerting, testing, monitoring, and incident-management controls.
Optimize pipeline and storage performance, scalability, resiliency, and cost efficiency while participating in Agile delivery and continuous improvement.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent professional experience.
5–7 years of professional experience in Data Engineering, backend data integration, ETL/ELT development, or enterprise Data Platform delivery within complex environments.
Strong SQL skills covering data analysis, query optimization, data manipulation, dimensional or relational modelling, and troubleshooting of large data workloads.
Hands-on programming and scripting experience, preferably with Python and PySpark; Java or Scala knowledge is an advantage.
Experience with on-premises data integration and database technologies, including relevant exposure to Oracle, Microsoft SQL Server, SSIS, enterprise schedulers, file-based interfaces, APIs, or comparable technologies.
Understanding of modern cloud and Lakehouse engineering patterns, with practical exposure to Microsoft Fabric and/or Databricks.
Mandatory experience with Git-based repositories and standard CI/CD procedures, including branching, pull requests, automated testing, controlled promotion, and repeatable deployment pipelines.
Understanding of DataOps and software engineering practices including modular design, reusable components, coding standards, peer review, test automation, infrastructure/configuration as code, observability, and release management.
Experience implementing data quality checks, reconciliation controls, logging, monitoring, alerting, and operational support for production data pipelines.
Understanding of data security, privacy, access control, secrets management, and governance requirements.
Ability to perform root-cause analysis, balance delivery speed with reliability, and work effectively in Agile, cross-functional, and multi-vendor teams.
Fluent English, written and spoken.
Nice to have
Italian or additional languages.
Knowledge of MSC internal tools, Data Platform components, development standards, operational processes, business terminology, and existing data flows.
Certifications in Microsoft Fabric, Microsoft Azure, Databricks, data engineering, or DevOps engineering.
Culture & Benefits
Permanent contract under the applicable Italian collective labour agreement.
Hybrid work with 2 remote days per week and flexible working hours.
€8 meal vouchers for each on-site working day.
Welfare and wellbeing initiatives, health insurance, employee assistance, productivity award, learning opportunities, and career development support.
Discounts and partnerships within the MSC group, with an inclusive and diverse working environment.
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