Data Engineer

Overview

As a Data Engineer at AECOM, you design, deliver, and optimise data platforms to support analytics across projects. You’ll ensure scalable, secure, and high-quality data solutions and collaborate with analysts, scientists, and digital teams. You’ll contribute to data-driven insights and may assist with feature engineering and model operations. This role supports a mission to deliver innovative, sustainable infrastructure solutions at scale.

Pay / Benefits

• hybrid work options
• competitive compensation
• well-being programs
• access to industry-leading technology
• transformational work with big impact
• diversity and inclusion initiatives

Responsibilities

• Develop data solutions through the full lifecycle with a focus on scalability and cost efficiency
• Oversee end-to-end data processes: ingestion, transformation, modelling and integration across external projects
• Ensure solutions meet performance, quality, security, and governance expectations
• Collaborate with cross-functional data teams to gather client requirements
• Support analytical projects with feature engineering and big data analysis
• Integrate data solutions within wider digital ecosystems with project managers and architects
• Maintain data engineering practices: code quality, testing, CI/CD, and documentation
• Adhere to data governance controls: metadata, access, data lineage, PII protection, regulatory compliance
• Develop monitoring/alerting for high availability and reliability; troubleshoot complex issues
• Explore cloud capabilities and modern data tools to drive innovation; share knowledge and standardise practices

Key requirements

• Bachelor’s degree in relevant field or equivalent experience
• Proficiency in at least one data engineering language (Python preferred; others beneficial)
• Strong SQL and understanding of relational/non-relational databases and data warehousing
• Experience with data modelling methodologies (dimensional, star/snowflake, data vault)
• Experience designing/operating ETL/ELT pipelines and workflow orchestration (Airflow, Azure Data Factory, Azure Functions)
• Experience delivering cloud-based data solutions at scale with client-facing skills

• client-facing communication
• collaboration
• stakeholder management
• Python (preferred)
• SQL
• relational and non-relational databases