Senior Data Engineer

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 at AECOM. With 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 Senior Data Engineer to play a key role in designing, delivering, and optimising data platforms and solutions across a wide range of projects. Join our growing Digital team across our UK locations, including Bristol, Cambridge and Edinburgh (flexible locations across the UK).

As a Senior Data Engineer , you will be responsible for leading major components of the data solution lifecycle, mentoring junior engineers, and ensuring the delivery of robust, scalable, secure, and value-driven data architecture.

Security Clearance

Please note that our offer of employment is conditional upon your ability to meet UK security clearance requirements. This is necessary for you to work on the full range of projects requiring security clearance at AECOM Infrastructure and Environment UK Limited.

We celebrate diversity, including neurodiversity, and believe it enriches our team. We welcome applications from all backgrounds and abilities. If you are an applicant with a disability that requires reasonable accommodation to complete the application process, please contact us at ReasonableAccommodations@aecom.com. At AECOM, we value everyone's unique contributions and perspectives.

If you meet some of the requirements above or have transferable skills you believe would benefit us, we would be delighted to hear from you!

Responsibilities

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.; 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.; 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.; Troubleshoot complex issues across infrastructure, data solutions, and custom analytical products.; Lead prototyping and proof-of-concept efforts to evaluate emerging technologies and their value within AECOM’s data ecosystem.; Support the operationalisation and deployment of predictive models and analytics solutions.; Continuously explore new cloud capabilities, data platforms, and modern data stack tools to drive innovation within the team.; Provide technical guidance, code reviews, and coaching to junior and mid-level data engineers.; Champion knowledge-sharing, standardisation, and collaborative team practices.

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience).; 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.).; Experience designing and operating ETL/ELT pipelines and modern workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, Azure Functions).; Professional experience in delivering cloud-based data engineering solutions at scale, with strong client-facing, stakeholder management, communication, and collaboration skills..