Senior Data Engineer: Cloud Platforms & ETL Expert

Publicis Sapient; City of Melbourne; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Inclusive workplace

Learning & development reimbursement

Competitive compensation

Flexible work arrangements

Generous paid leave

Job summary

Publicis Sapient in Melbourne seeks a Senior Associate, Data Engineering to design and implement data solutions that drive digital transformation. You will shape data ingestion, processing, storage, and analytics in cloud environments and contribute to data governance, testing, and performance optimization.

The role involves travel to client sites and collaboration with cross-functional teams to deliver high-impact services.

Qualifications

• Experience with modern Data Architecture in large-scale environments.
• Cloud-native architectures with hyperscaler platforms.
• Designed and built scalable data pipelines and distributed systems on Snowflake/Databricks.
• Proficient in Python and SQL with performance tuning knowledge.
• Familiarity with relational, NoSQL, and cloud-native storage.
• Experience in CI/CD, automated testing, and IaC tooling.
• Strong written, verbal, numerical, and presentation skills.

Responsibilities

• Design data platforms for clients focusing on ETL/ELT/ALT and lambda/kappa architectures.
• Develop prototypes for cloud, on-prem, hybrid, and edge data platforms.
• Create infrastructure-as-code for cloud and on-prem environments.
• Collaborate on patterns, governance, DevOps, testing, and performance optimization.

Skills

Data architecture

Cloud-native

Snowflake/Databricks

Python/SQL

Database technologies

CI/CD

Cloud infrastructure-as-code

Communication skills

Travel to client sites

Tools

Terraform

CloudFormation

Azure Resource Manager

Helm

Google Cloud Deployment Manager

Job description

Publicis Sapient in Melbourne seeks a Senior Associate, Data Engineering to design and implement data solutions that drive digital transformation. You will shape data ingestion, processing, storage, and analytics in cloud environments and contribute to data governance, testing, and performance optimization.

The role involves travel to client sites and collaboration with cross-functional teams to deliver high-impact services.