Senior Data Engineer - Real-Time ML & AWS Expert

Nice; Australia; On-site; AUD 150,000 - 210,000; Full time

Job summary

NiCE in Australia is seeking a Senior Data Engineer to join the CX Engineering team to deliver real-time, production-grade data solutions. You will partner with ML engineers, data scientists and product teams to build scalable pipelines and AI workflows on AWS.

The role focuses on end-to-end data platforms, from data prep to deployment, monitoring and optimization, including integrating Bedrock and large language models into customer-facing features.

Qualifications

• 5+ years hands-on experience as a Data Engineer on AWS.
• Strong proficiency in Python and JavaScript with production-grade code.
• Hands-on experience with core AWS services: Lambda, S3, Glue, Athena, Kinesis, EC2/ECS, RDS, DynamoDB.
• Experience with NoSQL stores such as MongoDB desirable.
• Experience building real-time, low-latency data streaming pipelines.
• Solid knowledge of SQL, data warehousing, ETL, and Data Lake concepts.
• Experience with GitHub, CI/CD, and containerized deployment.
• Experience with distributed systems and microservices.

Responsibilities

• Partner with ML engineers, data scientists, and product teams to translate business needs into technical solutions and ship production features.
• Build and maintain data pipelines to prepare data for consumption in features.
• Design, build, and maintain scalable ML and generative AI workflows, including Bedrock integration.
• Automate steps across the ML/AI lifecycle — data prep, model training, inference, deployment, monitoring.
• Collaborate cross-functionally to ensure end-to-end applications, including API/UX work.
• Experience with AI-assisted engineering practices using tools like Copilot and Claude Code.

Skills

Python

JavaScript

Data engineering

Collaboration

Problem solving

Tools

AWS

Lambda

S3

Glue

Athena

Kinesis

MongoDB

Apache Spark

Snowflake

GitHub

CI/CD

Docker

Kubernetes

Job description

NiCE in Australia is seeking a Senior Data Engineer to join the CX Engineering team to deliver real-time, production-grade data solutions. You will partner with ML engineers, data scientists and product teams to build scalable pipelines and AI workflows on AWS.

The role focuses on end-to-end data platforms, from data prep to deployment, monitoring and optimization, including integrating Bedrock and large language models into customer-facing features.