Senior Data Engineer

Reposted 21 Days Ago
Be an Early Applicant
Manila, Metro Manila, National Capital Region, PHL
In-Office
Senior level
Cloud • Software • Analytics
The Role
Drive data engineering efforts by developing reports and analytics tools, training team members, and improving processes while collaborating with global teams.
Summary Generated by Built In

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.


So, what’s the role all about?

As a rapidly growing business, we are further expanding the 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 much 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.

How will you make an impact?
  • 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.
  • Train team members, partners, and clients on the available data structures and reporting tools.
  • Conduct research and perform data analysis to identify root causes of issues, assess impact, and uncover anomalies or inconsistencies within the data.
  • Collaborate with global cross-functional teams to analyze customer journeys, identify trends, and produce insightful reports and dashboards.
  • 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.
  • Support data governance efforts by documenting processes, maintaining a knowledge base, and contributing to data security best practices.
  • Understand, propose, improve, implement processes (what processes? Very vague)
  • Write efficient and optimized SQL and scripts to extract, transform, analyze, and present data in meaningful formats.
  • 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.
  • Provide on-call support to global customers
  • And other responsibilities
Have you got what it takes?Basic Qualifications:
  • 6+ years experience in a consulting / data engineering / professional services role
  • 3+ years experience in senior/leadership roles
  • Ability to influence stakeholders and customers on project management and related topics.
  • Experience working with databases (relational and non-relational) at scale (ex: MySQL, Redshift, PostgreSQL, MongoDB, Redis, Cassandra, etc.)
  • Experience working with data warehouses and data lakes, including the associated ETL, reporting and data visualization tools (example: Looker, Power BI, Tableau, etc.)
  • Experience writing complex queries (SQL/NoSQL)
  • Expertise, knowledge, and understanding of architectures needed to build business-centric reports from multiple data sources (ranging from basic to complex)
  • Expert understanding of Professional Services Project Management Policies and Processes
  • Develop processes and process improvements to ensure high-quality and cost effectiveness
  • Excel in the ability to identify areas of concern based on documentation based on product knowledge, the needs of the stakeholders/customer, and other factors
  • 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
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.

Requisition ID: 9104

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.


Skills Required

  • 6+ years experience in a consulting / data engineering / professional services role
  • 3+ years experience in senior/leadership roles
  • Experience working with databases (relational and non-relational) at scale
  • Experience working with data warehouses and data lakes
  • Experience writing complex queries (SQL/NoSQL)
  • Expert understanding of Professional Services Project Management Policies and Processes
  • Ability to successfully work in a team-oriented, highly collaborative environment

NICE Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NICE and has not been reviewed or approved by NICE.

  • Healthcare Strength Benefits are described as broad and comprehensive, spanning medical, dental, vision, life, disability, and mental-health support. Added programs like FSA options and fitness stipends contribute to a well-rounded health and wellness offering.
  • Retirement Support A 401(k) is part of the package, sometimes paired with match details that are described as typical to stronger depending on role and time period. Employee stock participation is also positioned as an additional long-term wealth-building component for eligible roles.
  • Flexible Benefits Flexible work arrangements are emphasized, including hybrid setups and remote options for some roles. Flex scheduling, paid holidays, and paid sick time add to the perceived flexibility of the overall rewards package.

NICE Insights

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The Company
HQ: Hoboken, NJ
10,130 Employees
Year Founded: 1986

What We Do

NICE (Nasdaq: NICE) is the worldwide leading provider of both cloud and on-premises enterprise software solutions that empower organizations to make smarter decisions based on advanced analytics of structured and unstructured data. NICE helps organizations of all sizes deliver better customer service, ensure compliance, combat fraud and safeguard citizens. Over 25,000 organizations in more than 150 countries, including over 85 of the Fortune 100 companies, are using NICE solutions. www.nice.com.

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