Junior Data Engineer

Company Description

Work with Us. Change the World.

At AECOM, we’re delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world’s trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.

There has never been a better time to be h accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.

We’re one global team driven by our common purpose to deliver a better world. Join us.

AECOM is seeking an experienced Data Engineer to play a key role in designing, delivering, and optimising data platforms and solutions across a wide range of projects.

As a Data Engineer, you will be responsible for delivering components of the data solution lifecycle, ensure solutions adhere to standard quality metrics (scalability, secure, resilient etc) and design data-driven data architecture that serves value and delivers insight. Your work will directly support AECOM’s mission to deliver innovative and sustainable solutions to our clients.

You will work closely with Data Analysts, Data Scientists, and cross‑functional digital teams, supporting analytics use cases and occasionally contributing to light data‑science activities such as feature engineering, exploratory analysis, or model operationalisation.

• Develop concepts through the solution lifecycle, ensuring scalability and optimisation whilst considering cost.
• Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external, facing projects.
• Demonstrate that solutions have met client performance, quality, security, and governance expectations.
• Collaborate with cross‑functional data teams to gather client requirements.

• Work closely with Data Analysts and Data Scientists to support analytical projects providing support for work such as feature engineering, and big data‑analysis activities.
• Collaborate with project managers, architects, and technical teams to ensure seamless integration of data solutions within wider digital ecosystems.
• Uphold data engineering best practices including code quality, testing, CI/CD, and documentation standards.
• Adhere to project data governance controls, including metadata management, access controls, data lineage, PII protection, and compliance with organisational and regulatory requirements.
• Develop monitoring and alerting strategies for data solutions, maintaining high availability, performance, and reliability.
• Troubleshoot complex issues across infrastructure, data solutions, and custom analytical products.

• Continuously explore new cloud capabilities, data platforms, and modern data stack tools to drive innovation within the team.
• Foster a culture of knowledge-sharing, standardisation, and collaborative team practices.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience).
• 3+ years of experience in data engineering or data science fields, preferably in infrastructure, environmental, or urban development sectors.
• Professional experience designing and delivering cloud-based data engineering solutions at scale.
• Advanced proficiency in at least one programming language commonly used in data engineering (Python preferred; Scala, Java, or C# also beneficial).
• Strong SQL skills and deep understanding of relational databases, non‑relational stores, and data warehouse principles.
• Solid experience with data modelling methodologies (dimensional modelling, star/snowflake schemas, data vault, etc.).
• Strong grounding in…