Senior Data Engineer - Cloud-Native Pipelines & Platforms

Publicis Sapient; Sydney; On-site; AUD 150,000 - 190,000; Full time

Job summary

Publicis Sapient is seeking a Senior Associate in Data Engineering to architect and implement data solutions across cloud environments. You will drive large-scale ingestion, processing, storage, and analytics while focusing on secure, scalable, and efficient data platforms.

You will work hands-on with data specialists, shaping architectures, governance, and DevOps practices while delivering high-impact data services at client sites. A collaborative, learning-focused culture awaits.

Qualifications

• Experience with modern data architectures and cloud-native platforms.
• Proven ability to design and optimize large data pipelines and distributed systems.
• Proficient in Python and SQL with performance tuning knowledge.
• Experience with CI/CD and infrastructure-as-code.
• Strong communication, presentation, and collaboration skills.
• Willingness to travel to client sites.

Responsibilities

• Design data platforms for ETL/ELT/ALT, lambda, and kappa architectures.
• Build prototypes and solutions for cloud, on-prem, hybrid, and edge data platforms.
• Create and maintain infrastructure-as-code using Terraform, CloudFormation, ARM, Helm, and Google Cloud Deployment Manager.
• Collaborate with team on design patterns, data governance, DevOps, testing, and performance optimization.

Skills

Data architecture

Cloud-native architectures

Python & SQL

CI/CD & testing

Communication & presentation

Travel-ready

Tools

Snowflake

Databricks

Terraform

CloudFormation

Azure Resource Manager

Helm

Google Cloud Deployment Manager

Job description

Publicis Sapient is seeking a Senior Associate in Data Engineering to architect and implement data solutions across cloud environments. You will drive large-scale ingestion, processing, storage, and analytics while focusing on secure, scalable, and efficient data platforms.

You will work hands-on with data specialists, shaping architectures, governance, and DevOps practices while delivering high-impact data services at client sites. A collaborative, learning-focused culture awaits.