Publicis Sapient – Senior Associate, Data Engineering

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.

Role Overview

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

- 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 optimisation of 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 – Benefits

- 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, colour, 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 (email address omitted).

Location & Compensation

Permanent | Melbourne or Sydney | $90,000 to $110,000 plus super

Permanent role based in Melbourne or Sydney.

Ideal Candidate

2 to 5 years of experience who wants to build modern data platforms on Microsoft Azure and Fabric, while developing their career in a consulting setting.

What you will be doing includes building and maintaining data pipelines using Azure Data Factory, Synapse and Microsoft Fabric; helping design and implement lakehouse and modern data warehouse solutions; working with Azure Data Lake, OneLake, Delta tables and notebooks; developing data transformations in SQL and Python or PySpark; ensuring data quality, reliability and performance across client platforms; supporting senior engineers and architects on delivery across multiple client engagements; working closely with Power BI consultants to deliver data ready for reporting; and contributing to documentation, DevOps practices and client handover.

Diversity & Inclusion

ST Vic is committed to building a culture of flexible work arrangements, providing skilled devel

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