Occupation
Data engineer
Data engineers build the plumbing that moves data from where it is created to where it is analysed. They write pipelines, model warehouse tables, and put checks in place so that analysts and models are working from data that is complete and on time.
Also known as: Data pipeline engineer · ETL developer · Big data engineer
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Occupation content
Part of Information technology, data and cybersecurity
A visual day in the work
What the work involves
Build and schedule pipelines that extract, transform, and load data
Model warehouse and lake tables for analytical use
Add validation and monitoring so broken or late data is caught early
Investigate and re-run failed pipeline jobs
Work with analysts to define shared metrics and table contracts
Entry-route stepper
How people commonly enter
A degree in computer science, software engineering, or information systems
A college diploma or certificate in data or database technology
A data engineering apprenticeship with an employer
Progression from a software development, database, or analytics role
Cloud data platform certifications alongside hands-on pipeline experience
Typical training: Bachelor's degree
Licensing: Not typically licensed
Work-context map
Typical work context
- Team based
- Desk based
- Quiet focus
- Remote capable
- Hybrid office
Team based · Desk based · Quiet focus · Remote capable · Hybrid office
Related interests
- Investigative (analytical)
- Conventional (organizing)
- Realistic (hands-on)
Investigative (analytical) · Conventional (organizing) · Realistic (hands-on)
Related aptitude preparation
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Skills to practise
Practice suites
Related learning
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Labour-market context (not part of exploration match)
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Information technology, data and cybersecurity: education pathways
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Information technology, data and cybersecurity: licensing
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