Develop your existing skills to become a business analyst, helping your organisation to deliver business and digital change successfully.
This course is delivered online, meaning there's a high degree of flexibility for apprentices to study alongside their work, and for employers to suit the needs of their business. You'll take part in regular workshops with your fellow students and you'll also receive dedicated 1-2-1 time with your tutor.
This course is also offered with flexible start dates to meet the needs of the employer and the apprentice, so you will never have to wait for the course to begin in the future. We call this method 'roll on and roll off' so you can pick the month that suits your needs the best to start.
A data engineer builds and implements data flows to connect operational systems, and re-engineer manual data flows to enable scalable and repeatable use. Data engineers integrate, support and manage the build of data streaming systems, writing extract transform and load scripts that perform in line with business requirements.
They're also responsible for providing high quality, transparent data that enables effective governance and smart business decisions; and analyse the performance indicators of the data systems that provide clean, regular, and accurate data. A data engineer understands how data and an organisation’s data architecture is essential to business outcomes.
A data engineer gathers requirements for data solutions, and demonstrates and articulate data solutions to stakeholders in a way that can be easily understood. Data engineering encompasses a range of activities from collecting data to employing various data processing frameworks, including but not limited to ETL (Extract, Transform, Load), and collaborating with data scientists and other data-centric roles.
This apprenticeship explores all these facets of the role and the modules you'll study - such as building data systems, stakeholder solutions, and data governance and policies - will provide you with the core skills and knowledge required to pursue a career as a data engineer.