Senior Data Engineer, Cloud Data Platforms

Sarkarinaukridaily; Melbourne, Sydney; On-site; AUD 90,000 - 110,000; Full time

Benefits offered by this job

Competitive compensation

Flexible work

Paid leave

Wellness program

Job summary

Publicis Sapient is seeking a Senior Associate, Data Engineering to shape large-scale data ingestion, processing, and analytics in cloud environments. The role emphasizes hands-on delivery, data models, storage, security, DevOps, and test automation across modern platforms.

You will collaborate with data specialists and client teams, delivering scalable pipelines using Azure, Snowflake, and Databricks, while focusing on performance, governance, and reliable data services in a consulting setting.

Qualifications

• Experience with modern Data Architecture in large-scale data programs.
• Hands-on data engineering with cloud platforms (Azure, AWS, or GCP).
• Experience with Snowflake and Databricks data platforms.
• Proficient in Python and SQL with performance tuning.
• CI/CD and DevOps practices in data pipelines.
• Ability to travel to client sites.

Responsibilities

• Design data platforms with ETL/ELT architectures.
• Build prototypes for cloud, on-prem, hybrid, and edge data platforms.
• Develop infrastructure-as-code for cloud and on-prem environments.
• Collaborate on data governance, DevOps, testing, and performance.

Skills

Data Architecture

Cloud-native architectures

Snowflake

Databricks

Python

SQL

CI/CD

DevOps

Azure

Terraform

CloudFormation

Tools

Terraform

CloudFormation

Azure Resource Manager

Helm

Google Cloud Deployment Manager

Job description

Publicis Sapient is seeking a Senior Associate, Data Engineering to shape large-scale data ingestion, processing, and analytics in cloud environments. The role emphasizes hands-on delivery, data models, storage, security, DevOps, and test automation across modern platforms.

You will collaborate with data specialists and client teams, delivering scalable pipelines using Azure, Snowflake, and Databricks, while focusing on performance, governance, and reliable data services in a consulting setting.