Senior Data Engineer

At AECOM, we deliver 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.

AECOM is seeking an experienced Senior Data Engineer to play a key role in designing, delivering, and optimizing data platforms and solutions across a wide range of projects. As a Senior Data Engineer, you will lead major components of the data solution lifecycle, mentor junior engineers, and ensure the delivery of robust, scalable, secure, and value-driven data architecture. 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 operationalization.

• 
  
• Lead a concept through our solution development lifecycle, considering standard principles like optimisation and scalability.
  
• Oversee end‑to‑end data processes such as ingestion, transformation, modelling, and integration across multiple external, facing projects.
  
• Facilitate technical workshops and requirements gathering sessions with stakeholders across the organisation and external clients.
  
• Collaborate with cross‑functional data teams to translate client strategic and business requirements into technical specifications.
  
• Provide technical guidance, code reviews, and coaching to junior and mid‑level data engineers.
  
• Promote and lead with data engineering best practices including code quality, testing, CI/CD, and documentation standards.
  
• Lead the implementation of 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.
  
• Lead prototyping and proof‑of‑concept efforts to evaluate emerging technologies and their value within AECOM’s data ecosystem.
  

• 
  
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience).
  
• 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 analytical workflows and support for data‑science activities (feature engineering, data preparation, exploratory analysis).
  
• Experience designing and operating ETL/ELT pipelines and modern workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, Azure Functions).
  
• Practical experience with CI/CD, version control (Git), testing frameworks, and DevOps practices.
  
• Understanding of APIs, REST principles, and data integration patterns.
  
• Experience implementing data quality, validation, and observability frameworks.
  
• Master’s degree in Computer Science, Engineering, Mathematics, or related discipline (preferred).
  
• Professional certifications in cloud platforms (AWS, Azure, or GCP).
  
• Experience supporting or operationalising machine‑learning models (model deployments, monitoring, ML pipelines).
  
• Proficiency in containerisation and IaC (Docker, Kubernetes, Terraform, Bicep).
  
• Excellent communication skills with the ability to simplify technical concepts for non‑technical audiences.
  
• Strong analytical mindset, with the ability to identify issues, propose solutions, and make architecture recommendations.
  
• Ability to lead, mentor, and influence teams while remaining hands‑on.
  
• A proactive, experimental, and continuous learning approach to emerging technologies.
  

We offer a hybrid work model, allowing flexibility to work from an AECOM office, remote location, or client site. AECOM provides a wide array of compensation, benefits, and well‑being programs to meet the diverse needs of our employees and their families.

All your information will be kept confidential according to EEO guidelines. AECOM is a Disability Confident Employer and will offer an interview to applicants who have a disability or long‑term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address if you would like to apply through the Disability Confident Interview Scheme.