Once completed, Data Engineer apprentices will have the following knowledge and skills, and will be able to exhibit the following behaviours.
Knowledge:
Data modelling: understand data structures, data relationships, and how to model data for efficient storage and retrieval.
Data Frameworks: learn about the frameworks for data quality, covering dimensions such as, accuracy, completeness, consistency, timeliness and accessibility.
Cloud Platforms: Gain knowledge of on-demand cloud platforms, such as: Amazon AWS, Google Cloud, Hadoop, IBM Cloud, Salesforce and Microsoft Azure.
Skills:
Technical skills – become proficient in using data analysis techniques and data visualisation tools (charts, tables and graphs) to help make recommendations or to solve issues.
Data quality, monitoring and troubleshooting: understand how to track data quality metrics for accuracy and develop monitoring tools and forecasts. Learn how to investigate incidents, determine root cause and resolve issues.
Collaboration and communication: learn the importance of building relationships with users, analysts and data teams. Understand how to present and communicate data product information to audiences.
Behaviours:
Logical and Analytical Thinking: learn how to approach tasks and problems in a logical way. Understand how to use structured thinking to investigate and solve data-related issues.
Initiative, resilience and adaptability: become independent and take ownership of work, with the flexibility to adapt to changes in priorities and technologies. Understand the importance of remaining productive under pressure.
Teamworking and professionalism: show your ability to work with colleagues and stakeholders, respect different viewpoints, act with integrity and maintain a professional attitude.
