Data Engineer Intern
- Career Category: Computer - General, Computer - Networking, Computer - Programming, Engineering, Internship
- Schedule:Full-time
- Salary: Other Benefits
Reports to: Economic Policy Advisor
Duration: 6 months
Employment type: Paid internship, full-time
Eligibility: Open to Cambodian residents/citizens only
The Data Engineering Intern will provide technical support across CAPRED’s data engineering and software development. The role combines two things that are usually kept apart: building reliable data pipelines and building the software that puts those pipelines to use, including management information system, internal web tools, APIs, and dashboards that economists and policy analysts actually open every week.
This position suits an early-career professional with solid technical foundations, genuine curiosity, and a willingness to learn through practice and mentoring; someone with a disciplined, independent approach to problem-solving and a positive, learning-oriented attitude. Above all, the role suits someone who likes to test ideas, learn from mistakes, document what they find, and turn experimentation into practical tools that improve how CAPRED works.
The intern will be placed in the Policy Hub team and will work alongside and learn from senior economists, data scientists, and policy analysts, with structured supervision and mentoring from senior technical staff.
Other Information
- Qualified female candidates are HIGHLY encouraged to apply.
- This position will commence as soon as possible.
- Applications are reviewed on a rolling basis, and the position will close once filled. Early application is strongly encouraged.
- Data and software engineering
- Support the ingestion, cleaning, transformation, validation, and integration of data from structured and unstructured sources, including databases, spreadsheets, APIs, web sources, PDFs, survey data, and high-frequency indicators.
- Assist in building and maintaining reproducible data pipelines using Python, SQL, and related tools, with appropriate checks for data quality, consistency, and version control.
- Support the development and testing of prototype AI tools, including RAG-based document assistants.
- Assist in building and maintaining internal web tools and interfaces that allow colleagues to access, filter, submit, and explore data using JavaScript/TypeScript and modern web technologies.
- Build, configure, and maintain dashboards and data visualisation products that insights are clear, accessible, and useful for decision-making.
- Identify routine analytical or administrative tasks that could be automated and propose practical improvements.
- Support macroeconomic, trade, investment, enterprise, geospatial, and other policy-relevant data analysis under the guidance of senior staff.
- Collaboration, learning and documentation
- Work collaboratively with economists, policy analysts, data scientists, and project coordinating teams to translate analytical needs into practical data and software solutions.
- Work collaboratively with CAPRED’s external counterparts in the public and private sectors to deliver technical support on AI, data, and digitalisation, and to strengthen their technical capacity.
- Maintain organised code, files, documentation, and version control practices to support collaboration and continuity.
- Demonstrate a constructive attitude toward teamwork, feedback, trial and error, and continuous improvement.
- Perform administration support tasks and other relevant tasks assigned by the supervisor and CAPRED’s management.
- Competitive renumeration.
- Structured supervision and mentoring from senior colleagues.
- Exposure to real practical problems and to government counterparts, rather than sandbox exercises.
- The opportunity to work across the full stack of a data product from raw source to pipeline to database to interface within a single role.
- Practical experience with applied data and AI on live use cases.
- A dedicated allowance of time for structured learning and skills development.
- A written reference and portfolio of demonstrable work at the end of the assignment.
- Khmer - Good
- English - Good
- Undergraduate Degree in Year 4 student
- Bachelor's Degree in data science, data engineering, software engineering, computer science, statistics, or a related field
- Good working knowledge of Python and JavaScript, with the ability to write clear, reproducible, and well-documented code.
- Foundational understanding of relational databases and SQL, APIs, data cleaning, data transformation, and quality-control concepts.
- Evidence of having built at least one working software, data, or automation project from coursework, a personal project, or a hackathon that the candidate can explain and walk through.
- Familiarity with version control using Git.
- Good communication skills and the ability to work respectfully and collaboratively in a diverse team environment with economists, policy analysts, project coordinating staff, and technical colleagues.
- Willingness to experiment, test ideas, encounter errors, debug problems, learn from failure, and use those lessons to improve tools and introduce practical innovation at work.
- Working proficiency in written and spoken English and Khmer.
- Strong professional attitude, including reliability, humility, curiosity, attention to detail, and willingness to ask questions when needed.
