Class DE23.

Occupational roles Occupational role 1: Data Engineer The graduate has knowledge of... - How Data Engineering can develop an organisation's various business and operational processes - How ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) are used in organisations to retrieve, refine and organise data - Tools for decision support - Laws (e.g. GDPR) and ethical aspects of data management, and how both of these areas can affect a long-term business strategy - SQL and relevant database management tools - The concept of Big Data and how structured versus unstructured data is handled and stored - The Python programming language - How visualisation and presentation of data is carried out using visualisation techniques and tools - Cloud solutions used in Data Engineering - Machine learning and how machine learning methods can be used in an organisation - How statistics and data analysis can be used to analyse events, the future and risks for companies The graduate has skills in... - Identifying business needs and designing solutions using SQL - Developing and managing cloud solutions - Modelling databases - Collecting, transforming and refining data based on business-specific needs - Selecting, combining, visualising and presenting data - Working with, creating and presenting solutions using statistics, programming and the Python programming language - Identifying and developing KPIs for an organisation - Developing business-specific applications in a suitable current programming language - Interpreting and clarifying data according to requirement specifications from clients The graduate has the competence to... - Collect, filter and prepare data - Understand and combine data based on a specific task (e.g. from a profitability, credit risk or sustainability perspective) - Produce a recommended solution proposal based on requirement specifications - Develop strategies for handling, storing and refining complex data structures in order to support a specific business - Guide colleagues in areas such as decision support and ethical considerations in data management - Recommend methods for data collection and refinement based on specific requirements or situations in an organisation - Visualise data appropriately based on purpose and target audience - Find their way in the field and independently keep up with its developments for their own professional development