Hybrid Data Engineer — Scalable Cloud Platforms

AECOM; England; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid work options

Job summary

AECOM seeks an experienced Data Engineer to design, deliver, and optimise data platforms across diverse projects. You will ensure scalable, secure, and resilient data architectures that deliver insights for clients.

You will work with Data Analysts, Data Scientists, and cross-functional teams to support analytics use cases and contribute to light data-science activities. Hybrid work options available.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 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.

Responsibilities

• 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.

Skills

Python

Scala

Java

C#

SQL

Data modelling

ETL/ELT pipelines

Education

Bachelor's degree in Computer Science / Engineering / Mathematics

Tools

Apache Airflow

Azure Data Factory

Azure Functions

Job description

AECOM seeks an experienced Data Engineer to design, deliver, and optimise data platforms across diverse projects. You will ensure scalable, secure, and resilient data architectures that deliver insights for clients.

You will work with Data Analysts, Data Scientists, and cross-functional teams to support analytics use cases and contribute to light data-science activities. Hybrid work options available.