Intern, Data Engineering

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 the main subsidiary of EDP Group, a global leader in the renewable energy sector and one of the world’s largest wind producers. With its headquarters in Singapore, EDP APAC is the leading sustainable development hub for the Asia Pacific region with activities across nine different markets. Our activities are focused on the design, development, management, and operation of renewable energy sources, namely solar, wind, as well as new technologies such as storage.

EDP is a global energy group leading the Energy Transition, Innovation and Sustainability. Using the technology of the future, we create solutions highly focused on the needs of our people and our customers, never neglecting our role and contributions to society. To achieve our goals, we aim to attract diverse people with high potential through the professional opportunities we create.

Join us to be part of a renewable energy leader that reinvests in society through sustainable projects and social as well as cultural causes. You will have the opportunity to actively participate in our global transformation, by changing tomorrow now.

Summary

We are looking for a curious, technically strong undergraduate intern to join our E&C team and help us unlock the value of our Construction Management Tool (CMT) data. This is a hands‑on, exploratory role at the intersection of data engineering, AI, and real‑world industrial operations.

If you are looking for an internship where you will spend your time on toy datasets and predefined exercises — this is not it. You will work with production data from live renewable energy projects, develop a deep understanding of how that data is structured, and — critically — define how AI can be applied to it. The use cases you identify and the groundwork you lay will directly feed into the AI initiatives this team pursues next.

This is early‑stage, high‑ownership work. The right candidate will be energised by ambiguity, driven by curiosity, and excited by the idea of shaping something from the ground up.

Responsibilities

• Data architecture mapping— understand the CMT data model end-to-end: tables, relationships, data flows, and how project information is captured across the solar, wind, and BESS delivery lifecycle.
• Data catalogue development— document data assets in a structured, accessible catalogue: field definitions, data types, quality observations, and coverage gaps.
• Exploratory data analysis— query and profile the data to surface patterns, anomalies, and signals relevant to project delivery performance.
• AI use case identification— this is where it gets interesting. Drawing on your understanding of the CMT data and the broader E&C workflow, you will identify and document potential AI/ML applications across the business: predictive analytics, anomaly detection, scheduling optimisation, procurement insights, process automation, and beyond. For each candidate use case, you will assess feasibility, data readiness, and potential business value — building a tangible AI opportunity map for the team.
• AI/ML groundwork— assess the data landscape for ML readiness; identify what data preparation, enrichment, or pipeline work would be required to bring priority use cases to life.
• Collaboration— work closely with E&C project managers, planners, and engineers to contextualise data with domain knowledge and pressure‑test your ideas against operational reality.

Requirements

• Penultimate or final year undergraduate student in Data Science, Artificial Intelligence, Machine Learning, or a related quantitative discipline.
• Proficiency in SQL — comfortable writing non‑trivial queries against relational databases
• Python for data analysis (pandas, numpy, matplotlib/seaborn or equivalent)
• Familiarity with data engineering concepts: schemas, ETL pipelines, data lineage
• Exposure to ML workflows — feature engineering, model evaluation, supervised/unsupervised methods
• Experience with cloud data platforms or datalake environments is a plus
• Intellectually curious — you ask good questions before writing code
• Comfortable with unstructured problems; able to scope your own work
• Clear communicator — can translate technical findings for non‑technical stakeholders
• Detail‑oriented when it matters (data quality, documentation)
• Prior exposure to energy, infrastructure, or construction project data
• Experience with data cataloguing tools (e.g. DataHub, Atlan, or even structured Notion/Confluence documentation)
• Familiarity with BI tools (Power BI, Tableau) for exploratory visualisation

Learning Opportunities

• Real AI strategy exposure — not just implementing models, but identifying where and why AI creates value in a complex industrial business. The kind of thinking that separates strong data scientists from exceptional ones.
• Direct access to production‑grade renewable energy project data — the type of dataset most interns never get near.
• Mentorship from senior engineering and data stakeholders who are actively building this capability.
• A clear view into how AI/ML can be applied in an industrial project delivery context — from raw data all the way to business impact.
• Ownership of work with genuine downstream consequence — the catalogue, patterns, and use case roadmap you produce will shape what this team builds next

When you join EDP APAC, you will have access to:

• Professional experience in a leading global company in the renewables industry with flexible work conditions
• Recognition through remuneration compatible with the role and other additional benefits
• Opportunities for personal and professional development, e.g. cross‑cutting projects, mobilities and volunteering
  

About EDP Group

As a socially responsible company, we incorporate our values and practices with the principles of Diversity and Inclusion. To achieve all our objectives, we intend to attract, develop and retain different profiles, assuming diversity as a key factor and differentiator of fundamental innovation in our organisation. We welcome and value all people, and we are committed to the inclusion and sense of belonging of each person who is part of the EDP Group.

What makes us proud as an employer

TOP Employer APAC, Singapore 2025 certification

TOP Employer Europe 2025 certification

Bloomberg Gender Equality Index 2021

Top Workplaces US 2021

Certification in Conciliation (Excellence) by the Más Familia Foundation

Equal opportunities for all

Our vision is that each person combines their unique characteristics and experiences to fulfill our mission of creating new energy for the planet. We are an inclusive employer, ensuring all candidates are treated fairly throughout the recruitment process. We welcome and value all people, and we are committed to fostering a sense of belonging for each person who is part of the EDP group.

apply until 13/4/2026