Data Analytics Engineer - Hybrid

Ribbon Communications; Ottawa; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A telecommunications leader is seeking a Data Analytics Engineer to design and implement data processing applications. Ideal candidates should have a strong background in database technologies, programming skills in Python and Java, and experience with ML frameworks. This full-time role is based in Ottawa, with a blend of in-office and remote work expected.

Qualifications

• 2-4 years of related experience in a similar role.
• Strong understanding of database technologies.
• Experience with distributed data pipeline frameworks.

Responsibilities

• Design, architect, and implement data processing and analytics applications.
• Collaborate with architects and data scientists to develop AI/ML workflows.
• Optimize data workflows for performance and reliability.

Skills

Database technologies (SQL and NoSQL)

Python programming

Java programming

Machine learning frameworks

Education

Bachelor’s degree in Computer Science

Master’s degree in related field

Tools

Apache Flink

Spark

Kafka

Hadoop

Job description

Overview

JOB TITLE Data Analytics Engineer – Ribbon Analytics (Full Time)

ABOUT RIBBON COMMUNICATIONS
Ribbon Communications is a global leader in real-time communications, transforming networks to secure IP and cloud-based architectures for consumers and businesses worldwide. Learn more at rbbn.com.

OPPORTUNITY

Ribbon Communications is looking for a Data Analytics Engineer to design, architect, and implement data processing and analytics applications for real-world telecommunications use cases using ML, large language models, agentic frameworks, and other innovative technologies. Additionally, the role will also require supporting the design and development of data pipelines, data analytics, and visualization solutions on Ribbon Analytics.

Ribbon Analytics is a big data network analytics and security product that collects, processes, and responds to massive amounts of data collected from the network, leveraging machine learning and other techniques to analyze trends and outliers in the data and take action to mitigate security threats, fraud, and other issues in a customer’s network.

We are seeking a self-driven candidate with a strong work ethic and a focus on creating scalable data analytics and machine learning solutions.

LOCATION

Ottawa, ON, Canada

Responsibilities

• Design, architect, and implement data processing and analytics applications using the latest data engineering tools, ML, and AI frameworks.
• Participate in code reviews, design discussions, and technical decision-making.
• Collaborate with architects, data scientists, and software developers to design and develop AI/ML workflows and analytics data pipelines using the latest technologies.
• Optimize data workflows for performance, reliability, and scalability.
• Stay current with industry trends and emerging technologies in data science, ML, and data engineering.
• 2 days a week in the Ottawa office increasing to 3 days in January 2026.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
• A Master’s Degree in Computer Science, Electrical Engineering, or Computer Engineering is preferred.
• 2-4 years of related experience in a similar role.
• Strong understanding of database technologies (SQL and NoSQL).
• Experience with distributed data pipeline and data warehousing frameworks such as Apache Flink, Spark, Kafka, Hadoop, etc.
• Strong programming skills in Python, Java, and SQL as they relate to machine learning, data science, and AI/ML frameworks.
• Ability to quickly pick up new tools and technologies to assist in rapid prototyping.

Preferred Skills

• Experience with Large Language Models such as Anthropic Claude, Sonet, Llama 2, and other models in a production environment.
• Experience with AI frameworks - LangChain, LangGraph, and Vector Databases.
• Experience with microservices architecture and containerization frameworks - Kubernetes, Docker, and OpenShift.
• Experience with cloud platforms and distributed computing environments for NLP tasks, such as AWS, Google Cloud, or Azure.

Note

Please Note:

All qualified applicants will receive consideration for employment without regard to race, age, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, on the basis of disability, or other characteristic protected by applicable law.