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Entry LevelFull-timeCI/CDGit
Salary Range
$38,250 - $51,750 /year
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 involves leading major components of the data solution lifecycle, mentoring junior engineers, and ensuring the delivery of robust, scalable, secure, and value-driven data architecture.
Key Responsibilities
- →Lead a concept through the 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 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.
- →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.
- →Lead prototyping and proof-of-concept efforts to evaluate emerging technologies and their value within AECOM’s data ecosystem.
- →Provide technical guidance, code reviews, and coaching to junior and mid-level data engineers.
Requirements
- ✓Experience in designing, delivering, and optimising data platforms and solutions.
- ✓Ability to lead major components of the data solution lifecycle.
- ✓Strong understanding of data governance controls and best practices.
- ✓Experience with cloud platforms and modern data stack tools.
- ✓Ability to mentor junior and mid-level data engineers.
- ✓Strong communication and collaboration skills.
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