Internship — Data Engineering
Data Engineering
Build pipelines that turn messy sources into clean, structured data other systems can rely on.
Coming soonAll opportunities
- Role
- Data Engineering Intern
- Department
- Data Engineering
- Duration
- To be confirmed
- Work mode
- To be confirmed
- Commitment
- To be confirmed
- Openings
- To be confirmed
Overview
You work on collection, processing and storage: pulling data from sources, validating and shaping it, and loading it where analysis and applications can use it.
Preferred skills
- Python
- SQL
- Databases
- Data processing
- Git
These are preferences, not hard requirements. Genuine interest and a willingness to learn matter.
What you'll learn
- Building an extract, transform and load flow
- Schema design and validation
- Deduplication and data quality checks
- Scheduled jobs and monitoring
- SQL beyond simple selects
- Documenting a pipeline's contract
Eligibility
- Genuine interest in the selected domain
- Basic working understanding of the relevant technologies
- Willingness to learn and take feedback
- Able to communicate and collaborate in writing
- Able to commit to the internship duration and expected hours
Who should apply
- Undergraduate students
- Recent graduates
- Early-career developers
- Self-taught developers with work they can show
- Anyone genuinely interested in the domain they are applying to
Applications for Data Engineering are not open right now.
See open opportunities
Every application is read and assessed against the requirements of the selected opportunity. Shortlisted candidates are contacted directly. Selection is not guaranteed.
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