Senior IT Infrastructure Engineer II

A foundations course that builds eleven core data structures from the ground up (arrays, matrices, stacks, queues, linked lists, trees and BSTs, hash tables, hash sets, heaps, graphs and tries), then covers sorting, searching, greedy and divide and conquer. Every chapter has practice problems, flashcards and an assessment. It suits students and career switchers whose foundations came from tutorials and who find pattern courses move too fast.

• Job search
• DSA
• CS fundamentals

A structured learning path through coding interview preparation that brings together data structures and algorithms fundamentals, recursion and the pattern-based approach to coding questions in one order. It totals 77 chapters and 1,054 lessons, with quizzes, flashcards and a certificate. Use it when you have plenty of material but no clear plan for what to study first.

• Job search
• DSA
• Career

A sequenced path of six text-based courses for the engineering manager interview loop, combining coding, system design, microservices patterns, people management scenarios and senior leadership questions. It suits engineers moving into management and managers changing companies, who need to prepare for both the technical and the leadership rounds without piecing a plan together themselves.

• Career
• Leadership
• Job search

A text-based course for senior engineering leadership interviews, aimed at directors, VPs and senior managers. It covers organisational scenarios, technical leadership decisions, business leadership, handling exceptional situations, leadership styles, emotional intelligence, decision making and inclusion. It suits leaders whose interviews focus on organisations and outcomes rather than on running a single team.

• Career
• Leadership
• Job search

The best single book for understanding what data engineering is and how the pieces fit, organised around the data engineering lifecycle rather than any one tool. Read it alongside a hands-on course: it explains why things are built the way they are, the course teaches you to build them.

• System design
• Databases
• Cloud
• Career

An 8-stage path for students and early-career engineers who know some Python and SQL and want to build data pipelines on AWS, Google Cloud or Azure. It covers ingestion, analytical SQL and dimensional modelling, Parquet and Spark, Airflow and dbt, your cloud's data platform, Kafka streaming, data quality, Terraform and CI, and the first-role job search. You finish with one end-to-end portfolio pipeline that is tested, observable and costed.

• Databases
• Cloud
• Programming
• Career