“Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO

As a team:

We have exciting opportunities for a Data Engineer to join our Data & AI practice, part of larger Cloud First Group. We deliver scalable, business critical and end-to-end solutions for our client - from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies.

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways

If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. 

You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways

In our team you will learn:

• Help support the data profiling, ingestion, collation and storage of data for critical client projects.

• How to develop and enhance your knowledge of agile ways of working and working in open source stack (PySpark/PySql).

• Quality engineering professionals utilise Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery.

As a Data Engineer, you will:

• Digest data requirements, gather and analyse large scale structured data and validates by profiling in a data environment

• Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data

• Implement data quality procedures on data sources and preparation to visualize data and synthesize insights for business value

• Support data management standards and policy definition including synthesizing and anonymizing data

• Develop and maintain data engineering best practices and contribute to data analytics insights and visualization concepts, methods and techniques