Data Engineer at AECOM2

AECOM2

Bristol, 3 RIVERGATE, gb·1d ago

Entry LevelFull-timeCI/CDGit

Salary Range

$38,250 - $51,750 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

AECOM is seeking an experienced Data Engineer to play a key role in designing, delivering, and optimising data platforms and solutions across a wide range of projects. This role focuses on delivering components of the data solution lifecycle and ensuring solutions adhere to standard quality metrics.

Key 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.

Requirements

✓Experience in designing, delivering, and optimising data platforms and solutions.
✓Knowledge of data governance controls and compliance requirements.
✓Proficiency in data engineering best practices including code quality, testing, CI/CD, and documentation standards.

Free to sign up. Takes 30 seconds.