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

The Role

At HelloConnect, you will be part of a dynamic team that embraces innovation and leverages advanced technology to create exceptional experiences. Our culture is built on collaboration, continuous learning, and a commitment to excellence. You’ll have the opportunity to work on impactful projects, develop your skills, and grow within a supportive environment that values diverse perspectives and experiences.

As a Purchasing Coordinator, you will take on a key responsibility in supporting our Supply Chain Operations in the generation of purchase orders for various HelloFresh markets across Europe, the UK, Australia and New Zealand, contributing to our ongoing efforts to drive business success and enhance customer satisfaction.

We’re looking for passionate individuals who can bring their unique skills and ideas to the table. Even if you don't meet every requirement but believe you’d excel in this role, we’d love to hear from you!

What you’ll do

• Support our inbound supply chain operations & external partnerships  to ensure our ingredients arrive to our customers on time and in full
• Calculate and issue purchase orders for your category area(s). Revise or raise additional purchase orders as required
• Complete the necessary audit checks to ensure orders are complete and accurate before sending to suppliers
• Resolve any queries raised by suppliers on the purchase orders or transportation, escalate where necessary
• Resolve operational issues and perform root cause analysis. Put into place corrective actions to help prevent similar issues from reoccurring
• Help to establish, create and maintain reports that support daily operations
• Distribute forecast information to HelloFresh suppliers
• Partner closely with the Suppliers and internal teams such as Forecasting, Procurement, Warehouse and Inventory to ensure purchase orders are timely and fulfill customer requirements
• Correct or escalate any data inaccuracies to your Line Manager
• Report any tooling issues and recommend improvements
• Maintain the confidentiality of our data and uphold the integrity of our business
• Support on additional day to day tasks as needed, including but not limited to, data entry, emergency purchase orders, updates to delivery schedules and inventory data analysis
• Remain flexible to changing duties and responsibilities as business needs vary

What you’ll bring

• At least 2 years of previous purchasing experience as a Buyer
• Requires expertise in operating Microsoft Office programs, and ideally ERP/MRP systems
• Language: English, other European languages considered a plus (German, Dutch, French, Spanish, Italian)

What we offer

• Competitive Compensation: Beyond the standard package, we offer perks like Long Service Benefits (anniversary bonus) to recognize and celebrate your dedication
• Wellness & Perks: We prioritize your well-being by offering mental health support, HMO medical coverage, generous leave benefits plus life insurance for both you and your family's peace of mind
• Growth Opportunities: Invest in your personal development with an annual learning & development budget, plus access to the 360 Learning platform
• Dynamic Environment: Join a rapidly growing global Business Process Outsourcing company, where you'll collaborate with a diverse community spanning across multiple continents and cultures
• Work-Life Balance: Enjoy a healthy balance between your professional and personal life, with a supportive environment that prioritizes your well-being and personal time

Are you up for the challenge?

The first step to your new role starts here. Send in your application, along with your salary expectations and preferred start date. Our dedicated team will thoroughly review your details. We are excited to connect with you soon! 

#helloconnect
#LI-Remote
#hcgreenhouse

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

So, what’s the role all about?

The Professional Services Engineer is 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.

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.
• 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.

Have you got what it takes?

• 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.

Requisition ID: 9424

Reporting into: Manager, Professional Services
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 Role: Building the Engine for AI Transformation

Smartly’s Operations culture is evolving. We are building an intelligent, automated ecosystem that powers our entire global organization. As a Senior Solutions Engineer, you will be the primary technical partner for our AI Transformation team. While they identify strategic AI opportunities, you are responsible for the execution—building the connectors, agents, and interfaces that allow our internal teams to leverage AI in their daily work.

You will serve as a bridge between technical solutions and operational excellence. Your core responsibility involves identifying areas of inefficiency and disjointed processes ("silos") and resolving them by developing intelligent workflows, scalable internal tools, and effective code to ensure smooth, integrated operations. We are looking for a "builder" who thrives on independence and is obsessed with the "How can we do this better?" mindset.

As a Senior Solutions Engineer at Smartly, you will...

• Partner with AI Transformation team: Collaborate with the AI Transformation team to productize AI and automation prototypes, ensuring that new tools and agentic capabilities are successfully integrated into internal business processes.
• Orchestrate Internal Automations: Build and maintain a wide variety of internal tools and workflows for most teams across the company; these solutions range from traditional API-based automations to complex AI agentic workflows.
• Modernize Internal Systems: Develop and scale the internal tools and processes that enable teams to move faster, utilizing a blend of AI-driven agents and standard programmatic automations to solve operational needs.
• Own the Backend: Maintain and expand our internal microservices architecture, primarily running on TypeScript and NodeJS.
• Cloud Infrastructure Management: Independently manage and optimize our cloud infrastructure (we primarily use Google Cloud Platform), ensuring our internal tools and AI services are performant, secure, and scalable.
• Build Service Integrations: Act as the master of APIs, integrating disparate internal and external services (Salesforce, Slack, Big Query, data warehouse etc.) to create seamless data flows for both users and AI agents.

We’re definitely looking for you if you have...

• Innovative & Experimental Mindset: You are naturally curious and enjoy experimenting with new technologies. Our work involves frequent exploration of emerging tech stacks and AI libraries, so you should be comfortable navigating ambiguity and testing new tools.
• A Builder’s Background: A versatile technical background with exposure in Software Engineering, Data Engineering, or Artificial Intelligence—with a strong track record of building diverse technical solutions, internal automations, and scalable data pipelines.
• TypeScript/NodeJS Mastery: Strong proficiency in TypeScript and NodeJS (Koa/Express experience is a major plus).
• AI Implementation Experience: Proven experience building and maintaining AI agentic workflows or MCPs. You know how to leverage LLM APIs (Vertex AI/OpenAI) to build practical, task-oriented agents.
• Prompt Engineering: You have a deep understanding of prompt engineering techniques to produce high-quality, structured, and reliable outputs from LLMs. You can design, test, and iterate on prompts for complex agentic tasks.
• API Expertise: High familiarity with REST APIs and complex service-to-service integrations.
• Self-Driven Learning: The ability to dive into microservices, understand its logic, and implement modern solutions without constant supervision.
• Collaborative Mindset: The ability to translate needs from most internal teams into technical requirements that solve real-world problems for non-technical stakeholders.

Bonus Points for:

• Automation Platforms: Experience with workflow automation tools like Zapier, n8n, or similar platforms used to build and orchestrate agentic workflows.
• React Skills: Ability to build or tweak frontend admin dashboards to make your automations accessible to internal users.
• AdTech Background: Familiarity with Meta GraphAPI, TikTok Ads, or Google Ads APIs.