Senior Data Engineer

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.

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. 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.

Role responsibilities: 

Technical Leadership & Solution Delivery

• 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.
• Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external, facing projects.

Collaboration & Stakeholder Engagement

• 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.

Quality, Governance & Operational Excellence

• 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.

Innovation, Prototyping & Continuous Improvement

• 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.

Mentoring & Team Development

• Provide technical guidance, code reviews, and coaching to junior and mid-level data engineers.
• Champion knowledge-sharing, standardisation, and collaborative team practices.

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.

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. 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.

Role responsibilities: 

Technical Leadership & Solution Delivery

• 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.
• Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external, facing projects.

Collaboration & Stakeholder Engagement

• 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.

Quality, Governance & Operational Excellence

• 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.

Innovation, Prototyping & Continuous Improvement

• 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.

Mentoring & Team Development

• Provide technical guidance, code reviews, and coaching to junior and mid-level data engineers.
• Champion knowledge-sharing, standardisation, and collaborative team practices.

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