Data Engineering Intern: AI, DataOps & Renewable Projects

EDP Renewables; Singapore; On-site; SGD 13,000 - 20,000; Full time

Benefits offered by this job

Flexible work conditions

Competitive remuneration

Development opportunities

Job summary

EDP APAC is seeking a curious, technically strong undergraduate intern to join our E&C team and unlock the value of our Construction Management Tool data. You will work with production data from live renewable energy projects, define how AI can be applied, and contribute to an AI opportunity map for the team.

This early-stage, high-ownership role requires ambiguity tolerance, curiosity, and the drive to shape something from the ground up, within a global renewables context in Singapore.

Qualifications

• Penultimate or final year undergraduate in Data Science, AI, ML, or related quantitative field.
• Proficiency in SQL with non-trivial queries.
• Python for data analysis (pandas, numpy).
• Familiarity with data engineering concepts: schemas, ETL, data lineage.
• Exposure to ML workflows: feature engineering, model evaluation.

Responsibilities

• Data architecture mapping across the CMT data model for solar, wind, and BESS delivery lifecycle.
• Data catalogue development with field definitions, data types, quality observations.
• Exploratory data analysis to surface patterns and signals for project delivery performance.
• Identify AI/ML use cases and assess feasibility, data readiness, and business value.
• Assess data landscape for ML readiness and required preprocessing tasks.
• Collaborate with project managers, planners, and engineers to contextualise data.

Skills

SQL proficiency

Python data analysis

Data engineering concepts

ML workflows

Cloud data platforms

BI tools

Education

Penultimate/final year in Data Science or related

Tools

DataHub

Atlan

Notion/Confluence

Power BI

Tableau

Job description

EDP APAC is seeking a curious, technically strong undergraduate intern to join our E&C team and unlock the value of our Construction Management Tool data. You will work with production data from live renewable energy projects, define how AI can be applied, and contribute to an AI opportunity map for the team.

This early-stage, high-ownership role requires ambiguity tolerance, curiosity, and the drive to shape something from the ground up, within a global renewables context in Singapore.