Senior Associate Data Engineering

Publicis Groupe; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Inclusive workplace culture

Learning & development opportunities

Competitive compensation and benefits

Flexible work-life balance

Generous paid leave

Job summary

Publicis Sapient in Melbourne seeks a Senior Associate, Data Engineering who will architect and implement data solutions across ingestion, processing, storage, and analytics in cloud environments. You will design data models, storage solutions, performance tuning, security, DevOps, and test automation while collaborating with data specialists.

This hands-on role involves working with clients to build scalable data platforms, contribute to governance, CI/CD, and infrastructure-as-code, and travel

Qualifications

• Deep understanding of modern Data Architecture and its application to business transformation.
• Expertise in cloud-native architectures with practical experience in hyperscaler platforms.
• Experience designing, building, and optimising scalable data pipelines and distributed systems.
• Expertise in Python and SQL with performance tuning capabilities.
• Knowledge of relational, NoSQL, and cloud-native storage solutions.
• Experience in CI/CD, automated testing, and infrastructure-as-code.

Responsibilities

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

Skills

Data architecture

Cloud-native architectures

Snowflake

Databricks

Python

SQL

Relational databases

NoSQL databases

Cloud-native storage

CI/CD

Automated testing

Infrastructure as code

Travel willingness

Tools

Terraform

CloudFormation

Azure Resource Manager

Helm

Google Cloud Deployment Manager

Snowflake

Databricks

Job description

Company description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Overview

About the role:

As a Senior Associate, Data Engineering at Publicis Sapient, you will architect and implement innovative solutions that drive digital transformation. Your expertise will shape large-scale data ingestion, processing, storage, and analytics in mostly cloud environments. You will design and implement data models, data storage, performance optimisation, security, DevOps, and test automation solutions.

This role requires a hands-on approach, working collaboratively with other Data specialists in a culture that values continuous learning and knowledge sharing.

Key Responsibilities:

• Work closely with our clients, designing solutions for data platforms, with a focus on ETL, ELT, ALT, lambda, and kappa architectures.


• Build prototypes and solutions for cloud, on-prem, hybrid, and edge-based data platforms.


• Create and maintain infrastructure-as-code for cloud, on-prem, and hybrid environments using tools such as Terraform, CloudFormation, Azure Resource Manager, Helm, and Google Cloud Deployment Manager.


• Collaborate with other team members on design patterns, data governance, DevOps, testing, and performance optimisation.

Skills and Experience required:

• Deep understanding of modern Data Architecture and its application to business transformation.


• Expertise in cloud-native architectures, with practical experience in hyperscaler platforms.


• Experience designing, building, and optimising scalable data pipelines and distributed systems in Snowflake and/or Databricks.


• Expertise in Python and SQL, with deep knowledge of performance tuning, sharding, partitioning, and indexing.


• Understanding of database technologies, including relational, NoSQL, and cloud-native storage solutions.


• Experience in CI/CD, automated testing, and cloud infrastructure-as-code.


• Excellent written, verbal, numerical, and presentation skills.


• Willingness to travel and work on client sites to deliver exceptional, high-impact services.

Additional information

• An inclusive workplace that promotes diversity and collaboration.


• Access to ongoing learning and development opportunities.


• Competitive compensation and benefits package.


• Flexibility to support work-life balance.


• Generous paid leave and holidays.


• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [e-mail]