Data Platform Engineer

This is a free training course followed by the potential for a role with one of our clients.

Title: Data Platform Engineer

Job location: 2 days a week in London

Description:

These job roles are linked directly to free education, and upon completion of our course, you will be equipped to start your new role.

Our clients are looking for Data Platform Engineers to join their team.

As a Data Platform Engineer, you will design, build, and maintain the cloud-native infrastructure that powers strategic data platforms. Sitting at the intersection of core platform engineering and data domain solutions, you will work closely with data scientists, analysts, and business stakeholders to drive platform adoption, enhance developer experience, and implement modern automation and AI-driven workflow features.

100% FREE LEARNING LINKED TO JOB ROLES

All of our courses are 100% free for all students. There are no secret or hidden fees, no payment upon completion, and no debt. We work with our partner companies to ensure this education is free for all learners.

Benefits - vary per client, but are competitive.

• Production Python programming skills, including building production-grade data applications, automation tools, and automated testing frameworks.
• Data engineering experience across distributed processing, data warehousing, and modern table formats using tools such as Apache Spark, PySpark, Pandas, and Airflow.
• Experience with cloud-native infrastructure and containerisation across AWS, Kubernetes/Amazon EKS, and Docker.
• Hands-on expertise building and maintaining cloud CI/CD pipelines for continuous integration and automated deployment.
• Understanding of data platform observability, monitoring, and data quality practices.
• Exposure to real-time data streaming engines such as Apache Kafka, AWS Kinesis, or Apache Flink.
• Experience or strong interest in applied AI tools, Large Language Models (LLMs), prompt engineering, and agentic frameworks.
• Practical understanding of reusable prompt strategies and developing intelligent features for workflow automation and data discovery.