AI-Enabled Data Engineer Level 5

Overcome legacy data silos and build high-speed AI data pipelines with Kaplan's Level 5 AI-Enabled Data Engineer.

To transition from a developer to an Engineering Orchestrator, apprentices must master the intersection of high-scale cloud infrastructure, advanced data modelling, and automated intelligence. Our curriculum is specifically engineered to bridge the gap between legacy data handling and modern AI requirements, equipping your team with the technical rigour to build autonomous, cost-effective, and transparent systems that serve as the fundamental backbone of organisational intelligence.

Who it's for
The Level 5 Data Engineer is designed for technical professionals and organisations ready to move beyond manual data management and into the realm of automated, AI-driven infrastructure. Whether you are looking to hire new talent or upskill your existing team, this programme bridges the gap between traditional data handling and high-scale engineering. It is a strategic fit for organisations in data-heavy or high-governance sectors, such as Finance, Healthcare, and Legal, that require a unified Data Motorway to feed corporate AI models safely and at scale. This apprenticeship is ideal for:

A Modern Infrastructure Builder: A STEM graduate or a Level 4 technical apprentice looking to become an AI-native Engineer.
A Level-Up Analyst: An experienced Data Analyst or Analytics Engineer moving upstream from static reporting into the infrastructure that powers it.
A Legacy Migrator: An established IT professional or Database Administrator (DBA) transitioning from on-premise systems to elastic, AI-enabled Cloud-Ops.
An AI Platform Specialist: A technical lead specifically tasked with building the Vector Databases and real-time data flows required for enterprise-grade Retrieval-Augmented Generation (RAG).
A Junior Data Engineer: An existing team member looking to formalise their skills and master AI-augmented engineering and self-healing systems.