Senior Data Engineer - Snowflake

Job Description

About the Service Line:

Capgemini Global Insights & Data business line is a market leader in Data Engineering, Cloud Data Platforms, Data Science, and AI and Advanced Analytics across all sectors including financial services, public sector, consumer products, telecommunication & energy resources. Our offerings include end-2-end data integration to cloud platforms, complete suite of data engineering capabilities and a category of sector-based advanced analytics and AI driven solutions.

This is a unique opportunity within the Insights & Data (I&D) Global Business Line (GBL) to help grow the data, AI and Data Science engagements across all sectors in Australia and New Zealand. You will help shape and deliver complex projects and programs of work for our clients.  You will understand our client’s need to bring maximum value, impact, and innovation to the market as you oversee the delivery of client engagements for data and AI initiatives.
 
Let’s talk about the roles and responsibilities:

• The Senior Data Engineer will play a key role in designing, developing, and delivering scalable, high‑quality data solutions to support enterprise analytics, reporting, and operational data needs. This role requires strong hands‑on experience in Snowflake, dbt, SQL, and Azure DevOps.
• Design, develop, and maintain scalable data pipelines and transformations using dbt and Snowflake.
• Develop high‑quality, high‑performance SQL.
• Implement CI/CD workflows, automation, and version control using Azure DevOps.
• Lead and mentor an offshore data engineering team.Partner with business and technology stakeholders to understand requirements, communicate progress, and resolve issues.

Experience and Qualifications:

• Experience with Snowflake, including storage, compute, and basic performance tuning.
• Experience with dbt for modelling, testing, macros, and documentation.
• Strong SQL skills for analytics and data transformations.
• Experience using Azure DevOps – Git (nice to have)
• Experience with data migration, data mapping, validation, and ETL/ELT processes.
• Good to have experience with data visualisation tools such as Power BI.
• Good communication, stakeholder management, and problem‑solving skills.

What You’ll Love About Working Here:

• Exposure to transformational programs in AI & Data portfolio.
• Career growth through learning platforms, certifications, and global mobility.
• Inclusive culture backed by our “Inclusive Future for All” commitment.
• Competitive total rewards and recognition programs.