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Professional Services Engineer, CX (Data Engineer)
Отличная возможность для дата-инженера войти в сферу AI в крупной международной компании. Позиция предполагает работу с передовыми технологиями и глобальное влияние, хотя требует готовности к сменному графику.
Сложность вакансии
Роль требует сочетания навыков дата-инженерии (SQL, ETL, BI) и клиентского консалтинга. Сложность добавляет необходимость работы с AI-платформами и гибкий график для поддержки глобальных клиентов.
Анализ зарплаты
Предлагаемая роль соответствует уровню Middle Data Engineer в Маниле. Рыночные ставки для специалистов с опытом от 3 лет в международном консалтинге обычно находятся в диапазоне 80,000 - 130,000 PHP в месяц.
Сопроводительное письмо
I am writing to express my strong interest in the Professional Services Engineer (Data Engineer) position at NiCE. With over 3 years of experience in data engineering and professional services, I have developed a robust skill set in SQL, ETL processes, and BI tools like Power BI and Tableau. My background in designing complex data models and delivering client-facing solutions aligns perfectly with your goal of building a high-performing team in Manila to support MPower Proactive AI Agents.
I am particularly drawn to NiCE's reputation as an innovation powerhouse in the CX space. I have extensive experience working with both relational and non-relational databases, and I am eager to apply my analytical mindset to optimize AI-driven applications and customer journeys. My ability to translate business requirements into technical solutions, combined with my willingness to work in a shifting schedule to support global clients, makes me a strong fit for this collaborative and fast-paced role.
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Присоединяйтесь к лидеру в области AI-решений для клиентского опыта и станьте экспертом по внедрению инновационных агентов NiCE в Маниле!
Описание вакансии
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
About the role
The Professional Services Engineeris a customer-facing, billable role responsible for delivering specialized expertise and solutions for NICE products and services. This includes implementing, configuring, and optimizing AI-driven applications, such as chatbots, knowledge assistants, and other CXone digital solutions, for enterprise contact centers. The position combines technical and business responsibilities, requiring engagement with clients to understand their needs, provide consultative support, and deliver cutting-edge solutions.
As a rapidly growing business, we are building a professional services team here in Manila. In this new role, you will become a MPower Proactive AI Agents expert and advocate, delivering high-quality implementations, analysis, support, and many more to clients across the globe.
Working initially with both the EU and US teams you will provide implementation and support to our new and existing clients, then when MPower Proactive AI Agents expands into APAC, the Manila team will also lead the implementation, quality assurance, support, and delivery for local clients.
Responsibilities:
- Become a subject matter expert in the MPower Proactive AI Agents solution, such as, but not limited to, data model, reporting structure, and AI-driven functionalities.
- Design, develop, and maintain reports, dashboards, and analytics tools that provide business-critical insights to internal stakeholders and external customers.
- Collaborate with clients to understand their business requirements, workflows, and data needs, translating these into effective BI solutions.
- Collaborate with global cross-functional teams to analyze customer journeys, identify trends, and build data-driven solutions.
- Learn and continuously adapt to modern technologies, such as, but not limited to, AI-enabled data management and automation tools.
- Participate in and lead the definition and implementation of optimization strategies, leveraging deep insights from data.
- Create and maintain technical documentation including data models, system architecture, and implementation guides for clients and internal teams and support data governance efforts by documenting processes, maintaining knowledge bases, and contributing to data security best practices.
- Write efficient and optimized SQL and query language scripts to extract, transform, analyze, and present data in meaningful formats.
- Troubleshoot and resolve technical issues related to BI tools, data pipelines, and system integrations during the implementation process.
- Contribute to building and evolving data standards, best practices, and scalable solutions for reporting and analytics.
- Take initiative in proposing and experimenting with new tools, architectures, and methodologies for data storage, processing, and visualization.
- Ensure the delivery of BI solutions on time, within scope, and within budget while maintaining high-quality standards.
- Share expertise and foster a collaborative work environment.
- Provide on-call support to global customers.
Qualifications:
- 3+ years experience in a consulting / data engineering / professional services role.
- Experience in working with databases (relational and non-relational) at scale (ex: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, etc.).
- Experience in working with data warehouse, data lakes, and the associated ETL and reporting tools (example: Looker, Power BI, Tableau, Redshift, etc.).
- Expertise, knowledge, and understanding of architectures needed to build business-centric reports from multiple data sources (ranging from basic to complex).
- Proven experience with Query Languages (SQL/NoSQL), data visualization tools (e.g., Power BI, Tableau, or Looker), and report/dashboard development.
- Analytical mindset with excellent problem-solving and troubleshooting skills.
- Willingness and enthusiasm to learn complex AI-driven platforms and tools.
- Ability to successfully work in a team-oriented, highly collaborative environment.
- Ability to clearly communicate and present to stakeholders (internal and external).
- Amenable to work shifting schedules & Hybrid (2x onsite).
Nice to have:
- Familiarity with AI/ML-driven data solutions, or interest in learning.
- Experience working in cloud environments (Example: Azure, AWS, or GCP).
- Exposure to Python, R, or other scripting languages for data analysis.
- Understanding of data privacy, security, and governance frameworks.
Reporting into: Manager, Professional Services
Role Type:Individual Contributor
*About NiCE*
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
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Навыки
- SQL
- NoSQL
- MySQL
- PostgreSQL
- MongoDB
- Redis
- Cassandra
- ETL
- Looker
- Power BI
- Tableau
- Amazon Redshift
- Python
- R
- AWS
- Azure
- Google Cloud Platform
Возможные вопросы на собеседовании
Проверка навыков проектирования архитектуры данных для отчетности.
Опишите ваш опыт проектирования архитектуры данных для объединения нескольких разрозненных источников в единый дашборд для клиента.
Оценка способности решать технические проблемы в процессе внедрения.
Расскажите о сложном техническом инциденте при интеграции данных, который вы успешно решили. Какие инструменты вы использовали?
Проверка навыков взаимодействия с бизнес-заказчиками.
Как вы подходите к сбору требований от нетехнических стейкхолдеров, чтобы убедиться, что итоговое BI-решение соответствует их бизнес-целям?
Оценка интереса и знаний в области AI/ML.
Как, по вашему мнению, AI-технологии могут улучшить процессы управления данными и аналитику клиентского опыта в ближайшие годы?
Проверка готовности к специфике работы в Professional Services.
Как вы приоритизируете задачи при одновременной работе над несколькими проектами внедрения для разных глобальных клиентов?
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