Who You Will Be Working With...
The Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.
We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS.
The Focus Of Your Role
As a Solution Architect with an Azure and Databrick focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.
We are looking for a code first Data Engineer to design and build scalable and resilient data applications for Defence customers. This role sits at the intersection of Software Engineering and Data Engineering, working on mission critical systems where reliability, security and auditability are essential.
You will build data applications that process high volume and high velocity data, orchestrate complex workflows, and deploy your own solutions into secure containerised environments. You will work across the full lifecycle from development through to production, shaping architectures that support operational users, analytics, and AI enabled capabilities.
This role is hands on and engineering. You will write production grade code, contribute to secure platform patterns, and ensure that your data services run predictably in tightly governed Defence environments.
What You Will Bring
- Core Engineering Expert level Python and strong foundations in software engineering such as object oriented design, automated testing and version control.