So, what’s the role all about?

Data Engineer at NICE CXone sits between the teams that build data products and the infrastructure that runs them. We keep Snowflake environments healthy, get changes deployed safely through maintenance windows, and make sure the pipelines and systems our partners depend on stay observable and reliable. 

Your time will be split between operational work — coordinating and executing change requests, monitoring systems, supporting deployments — and project work focused on improving how we operate: better automation, cleaner alerting, more resilient processes. 

How will you make an impact?  

Release & deployment operations 

• Coordinate and execute build and release activities across multiple production regions within scheduled maintenance windows 
• Manage day-to-day operations of release pipelines, including Jenkins and GitHub Actions workflows, on behalf of data engineering teams 
• Author and manage Change Requests in ServiceNow, following CAB and CHG guidelines 
• Respond to platform alerts, investigate issues, and keep stakeholders informed 

Observability & support 

• Perform ongoing monitoring and maintenance of Snowflake environments — warehouse performance, access, and cost 
• Monitor MSK (Kafka) consumers and producers via CloudWatch; escalate or resolve anomalies 
• Keep runbooks current and contribute to post-incident reviews 
• Support data engineering teams with deployment questions and environment issues 

Improvement & automation 

• Identify and prototype improvements to DataOps processes through scripting and automation 
• Build and maintain tooling that reduces toil and improves the reliability of our release pipeline 

Day-to-Day Tech 

• Snowflake
• AWS (S3, IAM, CloudWatch, Lambda)
• Jenkins  ·  GitHub Actions 
• MSK / Kafka 
• Apache Airflow 
• Python 
• ServiceNow 
• Jira

Have you got what it takes?

• 3+ years in a DataOps, Platform Operations, or DevOps/SRE role supporting data infrastructure 
• Snowflake: hands-on with RBAC, warehouses, multi-environment administration, and SQL 
• AWS: S3, IAM, CloudWatch, Lambda — comfortable in the console and with the CLI 
• Experience defining and working within CI/CD pipelines using Jenkins and/or GitHub Actions 
• Python scripting for operational automation 
• Experience working within a formal change management process: CRs, maintenance windows, approvals 
• Clear communicator when things break — you keep stakeholders informed without being asked 
• Comfortable working async across time zones in a distributed team 
• Familiar with AI tools and comfortable using them in day-to-day work 

Nice to Have 

• Apache Airflow — DAG monitoring and operational support 
• MSK / Kafka operational experience 
• Infrastructure as Code experience — Terraform or similar 
• Prometheus & Grafana for monitoring and dashboards 

What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX! 
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10730
Reporting into: Manager, Engineering, Data CX
Role Type: Individual Contributor

So, what’s the role all about?

Associate Data Engineer at NICE CXone sits between the teams that build data products and the infrastructure that runs them. We keep Snowflake environments healthy, get changes deployed safely through maintenance windows, and make sure the pipelines and systems our partners depend on stay observable and reliable. 

Your time will be split between operational work — coordinating and executing change requests, monitoring systems, supporting deployments — and project work focused on improving how we operate: better automation, cleaner alerting, more resilient processes. 

How will you make an impact?  

Release & deployment operations 

• Coordinate and execute build and release activities across multiple production regions within scheduled maintenance windows 
• Manage day-to-day operations of release pipelines, including Jenkins and GitHub Actions workflows, on behalf of data engineering teams 
• Author and manage Change Requests in ServiceNow, following CAB and CHG guidelines 
• Respond to platform alerts, investigate issues, and keep stakeholders informed 

Observability & support 

• Perform ongoing monitoring and maintenance of Snowflake environments — warehouse performance, access, and cost 
• Monitor MSK (Kafka) consumers and producers via CloudWatch; escalate or resolve anomalies 
• Keep runbooks current and contribute to post-incident reviews 
• Support data engineering teams with deployment questions and environment issues 

Improvement & automation 

• Identify and prototype improvements to DataOps processes through scripting and automation 
• Build and maintain tooling that reduces toil and improves the reliability of our release pipeline 

Day-to-Day Tech 

• Snowflake
• AWS (S3, IAM, CloudWatch, Lambda)
• Jenkins  ·  GitHub Actions 
• MSK / Kafka 
• Apache Airflow 
• Python 
• ServiceNow 
• Jira

Have you got what it takes?

• 2+ years in a DataOps, Platform Operations, or DevOps/SRE role supporting data infrastructure 
• Snowflake: hands-on with RBAC, warehouses, multi-environment administration, and SQL 
• AWS: S3, IAM, CloudWatch, Lambda — comfortable in the console and with the CLI 
• Experience defining and working within CI/CD pipelines using Jenkins and/or GitHub Actions 
• Python scripting for operational automation 
• Experience working within a formal change management process: CRs, maintenance windows, approvals 
• Clear communicator when things break — you keep stakeholders informed without being asked 
• Comfortable working async across time zones in a distributed team 
• Familiar with AI tools and comfortable using them in day-to-day work 

Nice to Have 

• Apache Airflow — DAG monitoring and operational support 
• MSK / Kafka operational experience 
• Infrastructure as Code experience — Terraform or similar 
• Prometheus & Grafana for monitoring and dashboards 

What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX! 
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10733
Reporting into: Manager
Role Type: Individual Contributor

So, what’s the role all about?
The Senior Cloud Database Engineer will ensure SQL Server database performance and availability in a 24x7 environment.

How will you make an impact?  

• Install, configure, upgrade, monitor, maintain, and manage multiple SQL Server databases.
• Perform database and application tuning.
• Establish and maintain sound backup and recovery policies and procedures.
• Implement and maintain database security
• Create, maintain, and monitor SQL 
• Other duties assigned by the manager

Have you got what it takes?

• Bachelor’s degree in Computer Science, Business Information Systems, or related field or equivalent work experience required.
• 5+ years maintaining SQL Server mission-critical databases 
• 5+ years of TSQL programming 
• 2+ years implementing and maintaining database replication
• 2+ years implementing and maintaining SQL Server Availability Groups
• Ability to work with technical and non-technical people 
• Problem-solving skills are a must
• Ability to meet deadlines

You will have an advantage if you also have:

• SSAS/SSRS/SSIS
• Newer data/streaming platforms: Kafka, MSK, Snowflake, Aurora DB, SNS
• AWS, AWS CLI management
• MS Azure database management
• MCSE/MCDBA/OCP 
• NET technologies 
• PowerShell 
• C#
• Rubrik
• TFS/GitHub

This job description is not intended to be all-inclusive, and employees will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required.

This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.​

What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX! 
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10611
Reporting into: Manager, Network Operations
Role Type: Individual Contributor

So, what’s the role all about?
We are seeking an experienced Manager, Engineering to lead a globally distributed team responsible for optimizing and managing data pipelines, real-time data processing, and database operations. The ideal candidate will have strong technical expertise in SQL, databases, Kafka, Flink, Airflow, and AWS, along with experience in managing remote teams across multiple time zones. 

How will you make an impact?  

• Lead and mentor a distributed DataOps team, ensuring high performance and collaboration across different regions. 
• Oversee the design, development, and maintenance of scalable data pipelines and streaming applications. 
• Manage and optimize database operations, ensuring data integrity, performance, and security. 
• Implement and maintain real-time data processing workflows using Kafka and Flink. 
• Collaborate with engineering, analytics, and business teams to ensure seamless data flow and accessibility. 
• Develop and enforce best practices for data governance, monitoring, and observability. 
• Drive automation and efficiency improvements in DataOps processes. 
• Ensure high availability, reliability, and performance of data infrastructure. 
• Manage project timelines, resource allocation, and stakeholder expectations. 

Have you got what it takes?

• Bachelor's degree in Computer Science, Engineering, or a related field, OR 5+ years of experience in DataOps, Data Engineering, or a related field. 
• Proven experience managing and leading remote teams across multiple time zones. 
• Strong proficiency in SQL and database management (e.g., Snowflake, SQL, NoSQL databases). 
• Expertise in real-time data processing technologies such as Kafka and Flink. 
• Experience with Airflow for workflow orchestration. 
• Experience with cloud-based data platforms, particularly AWS. 
• Familiarity with infrastructure-as-code and automation tools. 

Preferred Qualifications: 

• Experience working in a fast-paced, globally distributed environment. 
• Knowledge of CI/CD pipelines for data workflows. 
• Understanding of data security and compliance best practices. 

This job description is not intended to be all-inclusive, and employees will also perform other reasonable related business duties as assigned by immediate supervisor and other management as required.

This organization reserves the right to revise or change job duties as the need arises. This job description does not constitute a written or implied contract of employment.​

What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX! 
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10613
Reporting into: Manager, Network Operations
Role Type: Individual Contributor

So, what’s the role all about?

Associate Data Engineer at NICE CXone sits between the teams that build data products and the infrastructure that runs them. We keep Snowflake environments healthy, get changes deployed safely through maintenance windows, and make sure the pipelines and systems our partners depend on stay observable and reliable. 

Your time will be split between operational work — coordinating and executing change requests, monitoring systems, supporting deployments — and project work focused on improving how we operate: better automation, cleaner alerting, more resilient processes. 

How will you make an impact?  

Release & deployment operations 

• Coordinate and execute build and release activities across multiple production regions within scheduled maintenance windows 
• Manage day-to-day operations of release pipelines, including Jenkins and GitHub Actions workflows, on behalf of data engineering teams 
• Author and manage Change Requests in ServiceNow, following CAB and CHG guidelines 
• Respond to platform alerts, investigate issues, and keep stakeholders informed 

Observability & support 

• Perform ongoing monitoring and maintenance of Snowflake environments — warehouse performance, access, and cost 
• Monitor MSK (Kafka) consumers and producers via CloudWatch; escalate or resolve anomalies 
• Keep runbooks current and contribute to post-incident reviews 
• Support data engineering teams with deployment questions and environment issues 

Improvement & automation 

• Identify and prototype improvements to DataOps processes through scripting and automation 
• Build and maintain tooling that reduces toil and improves the reliability of our release pipeline 

Day-to-Day Tech 

• Snowflake
• AWS (S3, IAM, CloudWatch, Lambda)
• Jenkins  ·  GitHub Actions 
• MSK / Kafka 
• Apache Airflow 
• Python 
• ServiceNow 
• Jira

Have you got what it takes?

• 2+ years in a DataOps, Platform Operations, or DevOps/SRE role supporting data infrastructure 
• Snowflake: hands-on with RBAC, warehouses, multi-environment administration, and SQL 
• AWS: S3, IAM, CloudWatch, Lambda — comfortable in the console and with the CLI 
• Experience defining and working within CI/CD pipelines using Jenkins and/or GitHub Actions 
• Python scripting for operational automation 
• Experience working within a formal change management process: CRs, maintenance windows, approvals 
• Clear communicator when things break — you keep stakeholders informed without being asked 
• Comfortable working async across time zones in a distributed team 
• Familiar with AI tools and comfortable using them in day-to-day work 

Nice to Have 

• Apache Airflow — DAG monitoring and operational support 
• MSK / Kafka operational experience 
• Infrastructure as Code experience — Terraform or similar 
• Prometheus & Grafana for monitoring and dashboards 

What’s in it for you?
Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX! 
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10732
Reporting into: Manager
Role Type: Individual Contributor

Data Engineer

Important Information

Location: BGC, Makati

Experience: min 4-6 years

Job Mode: Contract (subject for regularization)

Work Mode: 2x a week Onsite

Responsibilities and Duties

• Design and develop data pipelines that will ingest the data from the respective source systems into the data warehouse
• Support and optimize existing data pipelines to ensure that the downstream SLAs are met
• Responsible in attending agile ceremonies as part of the Agile Tribe set-up and delivering the different demands of the Tribe related to data ingestions to the data warehouse platform
• Ensures data quality within the data warehouse tables
• Ensures the data engineering standards and practices are followed like code version history, readability, functionality, extendibility, test runs, deployments, and post deployment support
• Supports L2 Data Operations team and act as L3 support
• Manage data storage, computing unit requirements, and data security within the data warehouse
• Gather data requirements coming from Tribe demands
• Supports other data engineers on other Tribes or domains if necessary
• Demonstrate technical excellence when it comes to the data warehouse platform
• Supports stakeholders of the data warehouse platform by solving data related issues and conducting data investigations

Qualifications

• Bachelor's degree in computer science, information management, or a related field.
• Strong SQL and ETL development experience, preferably related to Data Warehousing, Business Intelligence, or other Data Delivery projects.
• Proficiency in optimizing data pipelines in order to meet SLA requirements and save cost
• Experience in Big Data, Hadoop, EMR, Hive, and cloud environments is a plus
• Proficiency in Python, R, Java, Scala is a plus
• Proficiency in data modeling, data integrations, data quality, and data architecture is a plus
• AWS data integrations (Glue, Athena)
• Spark, Databricks
• Delta lake, Data Lake
• Kafka, Confluent, Real-time processing, Data Streaming

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

The Customer Success Team is responsible for delivering our product to our clients. This includes education, configuration, solution development, and risk strategy to enable our clients to address their pain points. We collaborate with our clients to ensure they have the right solution, build out a strategy and training plan for them, and then support them through each phase of our client lifecycle. We grow at a fast clip and believe no challenge is too big or too small. Therefore, we have an open environment that encourages us to lean in, try new things, and discover our potential. 

You:

As a Senior Product Support Engineer at Feedzai, you will serve as the first point of contact for our customers, resolving the most complex and escalated pre-production and post-production technical issues within our cloud-based financial crime prevention platform. This role requires a strong technical foundation, problem-solving mindset, and customer-centric attitude to ensure that customer issues are addressed promptly and effectively.

You’ll be expected to take full ownership of customer incidents, mitigate urgent problems, escalate appropriately to our engineering teams, and follow through until complete resolution. This position involves analyzing complex technical issues across Feedzai’s products , their interaction with customers’ infrastructure, and communicating with stakeholders across all levels of seniority. We are looking for professionals with experience across L1, L2, and L3 support levels—or with the technical capability to operate across these levels.

Your Day to Day: 

• Serve as a technical expert on Feedzai’s products, resolving complex customer issues independently.
• Troubleshoot and resolve product and infrastructure-related issues in a 24/7 environment, adhering to established SLA timelines.
• Manage customer communications effectively, including conference calls and status updates to stakeholders.
• Clearly document and communicate issue root causes, impacts, and resolution steps to internal and external stakeholders.
• Escalate critical issues to the appropriate engineering teams and coordinate resolution efforts across multiple tiers of support.
• Serve as the primary technical liaison between Support and Engineering, driving root cause analysis (RCA) and ensuring efficient hand-offs for critical issues.
• Contribute to the continuous improvement of support documentation, including the creation of internal and external knowledge base articles.
• Translate customer feedback into actionable engineering requirements and collaborate with Engineering and Customer Success teams to prioritize enhancements.
• Regularly interact with internal tools and bug-fixing processes using Shell scripting, SQL, and/or Python.
• After 3–6 months, participate in the on-call rotation for handling high-priority issues during weekends (approximately one weekend every three weeks), with additional compensation.
• Serve as a mentor and escalation point for L1  support staff, providing technical guidance and peer review for incident resolution.
  
  

You Have & You Know-how: 

• Bachelor’s degree in Computer Science, Engineering, or a related technical field—or equivalent professional experience.
• 4–7 years of experience in a technical support, product support, or engineering role.
• Excellent written and verbal communication skills in English, with the ability to produce clear, professional customer-facing documentation (e.g., Root Cause Analysis reports).
• Ability to work autonomously in a fast-paced, dynamic environment.
• Strong technical foundation, with a solid understanding of programming concepts (development experience is a plus, but not required).
• Familiarity with UNIX/Linux systems.
• Understanding of Object-Oriented Programming principles (experience with Java is preferred).
• Hands-on experience with development tools such as Git, IDEs, and related utilities.
• Experience with databases, particularly Cassandra and SQL.
• Knowledge of distributed systems, high-availability architectures, and web technologies (especially REST APIs).
• Familiarity with cloud platforms such as AWS or GCP.
• Exposure to messaging systems like RabbitMQ or Kafka, and coordination tools such as Zookeeper.

#LI-Remote 

Duties:

• Deploy, Upgrade, Maintain third party application stacks for metrics, logging and APM
• Advanced troubleshooting of performance issues related to Linux
• Build, Maintain and troubleshoot containerized workloads in Kubernetes or docker
• Maintain CI/CD pipeline for developer code in Gitlab
• Support developers with deploying and maintaining application servers
• Create / Update Ansible code for configuration management of third-party applications
• Create / Update Terraform code for management of infrastructure
• Work with other teams to understand their specific needs and goals for observability and help them follow established processes and best practices to achieve those goals
• Act as a Subject Matter Expert for the Observability stack, answering questions from other teams on how to use the tools we provide
• Provide guidance and training to junior engineers
• Participate in 24x7 On Call support rotating weekly between Observability Engineers
• Work US based daytime hours

Requirements:

This is an intermediate position with expectation the candidate has a good amount of work experience to be self-sufficient.

• Intermediate to advanced knowledge of Linux administration (Ubuntu / Debian / CentOS / RHEL)
• Intermediate to advanced scripting abilities ( Bash / Python )
• Intermediate to advanced experience with hypervisor technologies ( Openstack / VMWare )
• Intermediate knowledge of networking concepts to be able to troubleshoot advance architectures that involve complex networks.
• 2+  years experience with Infrastructure as Code tools such as Terraform
• 2+ years experience with Configuration as Code tools such as Ansible
• 2+  years experience with Grafana or a similar a Dashboarding tool
• 2+  years experience with Observability tools such as:
• Metrics: Prometheus / Mimir / Thanos / VictoriaDb / Graphite / InfluxDb
• Logs: Loki / Elasticsearch / Splunk
• Tracing/APM: Tempo / New Relic / AppDynamics
• 2+  years experience with public cloud operators specifically GCP and AWS
• 2+  years experience with Kubernetes and docker
• 2+  years experience with Kafka
• Experience with git and standard processes (branching and merge/pull request) for collaborative version control
  
  

Company Benefits

• Company stocks
• Annual merit increase based on performance
• 15% night shift differential pay
• Paid Leave with Cash Conversion
• HMO with free dependents
• Retirement Plan
• Life Insurance
• While on work from home setup: Internet and meal allowance are provided
• Employee Assistance Program for mental and social well-being
• Government-mandated Benefits (SSS, PhilHealth, PagIBIG, 13^th month pay, Solo parent leave, Special leave for women)