About the roles 

It’s all about the data! There is no surprise that data is a seamless fabric that pervades every corner of our planet, making it the most valuable renewable resource. Data’s value stems from its potential to be distilled into an essential commodity. In its most refined state, data can be transformed into knowledge which powers decision making and provides opportunities for operational efficiencies and increased revenue. 
 
Come blaze passion into designing, building, and integrating big data with the Data Engineering team to help make data and its pipelines more useful to the enterprise. Supercharge your human operating system and learning capacity while experimenting with new technology products, building, and maintaining data structures and architecture for data ingestion and processing. You’ll learn techniques, approaches and help develop technology products that enable data discovery, visualisation, and insights. 
 
About You 
Apply your insatiable curiosity to create data ingestion patterns and deliver data to consumers 
Develop queries or algorithms to ingest data from various sources into a cloud-based environment and data ecosystem 
Build required infrastructure for optimal extraction, transformation and loading of data 
Assist in preparing big data infrastructure for large-scale data intensive applications 
Optimise and engineer cloud architectures, data storage technologies 
Activate your limitless potential in designing, building, and testing data products, scripts or connectors for advanced analytics 
 
One Digital 
For graduates, the One Digital Early Careers program is two years, comprising two 12-month rotations within a dedicated digital discipline. This provides early careers with a breadth of experience and the opportunity to build technical depth to apply to the most complex problems of the future. 
 
Requirements 
To apply to this role you’ll need to a 2:1 degree, or equivalent in Computer Science, Management Information Systems, Computer Engineering or related technical or business field. 
You’ll also need to be in your final year of study or have completed your degree.  
Experience designing, testing, optimizing, and troubleshooting ETL solutions. 
Experience writing software in one or more programming languages (e.g. Python, Java, Scala). 
Experience with database technologies and SQL. 
 
Desirable criteria 
Experience designing data architecture, APIs and system integration. 
Experience large scale distributed data processing, including familiarity with NoSQL databases. 
Experience cloud computing, like Azure, AWS. 
Proficiency in all aspects of software development cycle. 
Excellent communication, organizational, and analytical skills 
Ability to work using the agile scrum, kanban or agile framework 
Self-motivated with an enthusiastic and proactive, passionate approach to learn and inspire 
Be an imaginative / creative problem solver 
Energetic communicator open to co-create and collaborate on a cross-functional team