Data Engineer

About the Role

The Data Engineer role involves designing, delivering, and optimizing data platforms across a variety of projects, directly supporting AECOM’s mission of innovative and sustainable solutions. The engineer works closely with Data Analysts, Data Scientists, and cross‑functional digital teams, and may also contribute to feature engineering, exploratory analysis, or model operationalization. Key responsibilities include developing scalable solutions, managing end‑to‑end data pipelines (ingestion, transformation, modeling, integration), and ensuring performance, security, governance, and quality standards are met. The engineer collaborates with analysts, scientists, architects, and project managers, upholds engineering best practices, implements monitoring and alerting, troubleshoots complex issues, and continuously explores new cloud capabilities and modern data‑stack tools while fostering knowledge‑sharing within the team. • Design, build, and optimize scalable cloud‑based data platforms. • Develop and maintain end‑to‑end data pipelines (ingestion, transformation, modeling, integration). • Ensure solutions meet performance, security, governance, and quality standards. • Collaborate with data analysts, data scientists, architects, and project managers to gather requirements. • Implement engineering best practices: code quality, testing, CI/CD, and documentation. • Manage metadata, access controls, data lineage, and PII protection. • Create monitoring, alerting, and reliability strategies for data solutions. • Troubleshoot complex infrastructure and data‑related issues. • Explore and prototype new cloud services and modern data‑stack tools. • Promote knowledge‑sharing and standardization within the data team.

Key Responsibilities

• ▸cloud platforms
• ▸data pipelines
• ▸performance security
• ▸ci/cd
• ▸metadata management
• ▸monitoring alerts

What You Bring

Candidates must hold a Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent experience) and have at least three years of data engineering experience, preferably in infrastructure or urban development. Required skills include cloud‑based solution design, Python and SQL proficiency, data modeling expertise, ETL/ELT pipeline development, workflow orchestration (e.g., Airflow), CI/CD, version control, API integration, and data quality frameworks. Preferred qualifications include cloud certifications, experience with Databricks, Snowflake, Spark, Kafka, BI tools, ML frameworks, containerization, and IaC, as well as strong communication, analytical, and organizational abilities. • Hold a Bachelor’s degree in CS, Engineering, Mathematics or equivalent. • Minimum 3 years experience in data engineering, cloud solutions, and Python/SQL. • Expertise in data modeling (dimensional, star/snowflake, data vault). • Experience with ETL/ELT pipelines and orchestration tools (Airflow, Azure Data Factory). • Familiarity with CI/CD, Git, testing frameworks, and DevOps practices. • Preferred cloud certifications (AWS, Azure, GCP) and experience with Databricks, Snowflake, Spark, Kafka. • Strong communication, analytical mindset, and ability to manage multiple tasks.

Requirements

• ▸bachelor's
• ▸data engineering
• ▸data modeling
• ▸airflow
• ▸ci/cd
• ▸communication

Benefits

The position is based in Bristol with a hybrid work model and does not offer visa sponsorship; candidates must obtain security clearance. AECOM provides a flexible, inclusive workplace, comprehensive compensation, benefits, and well‑being programs, and is committed to equal opportunity, diversity, and disability‑confident hiring. All applicant information is kept confidential in accordance with EEO guidelines. • Hybrid work flexibility in Bristol with access to global resources and benefits. • Comprehensive compensation, health, and well‑being programs.

Work Environment

Office Full-Time