Job Description
AECOM is seeking an experienced Senior Data Engineer to play a key role in designing, delivering, and optimizing 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
* 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.
* 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.
* 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.
* 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.
* Provide technical guidance, code reviews and coaching to junior and mid‑level data engineers.
* Champion knowledge‑sharing, standardisation, and collaborative team practices.
Qualifications
* Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience).
* Professional experience designing and delivering cloud‑based data engineering solutions at scale.
* 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).
* Strong grounding in analytical workflows and support for data‑science activities (feature engineering, data preparation, exploratory analysis).
* Experience designing and operating ETL/ELT pipelines and modern workflow orchestration tools (e.g. Apache Airflow, Azure Data Factory, Azure Functions).
* Practical experience with CI/CD, version control (Git), testing frameworks and DevOps practices.
* Understanding of APIs, REST principles and data integration patterns.
* Experience implementing data quality, validation and observability frameworks.
Preferred Qualifications
* Master’s degree in Computer Science, Engineering, Mathematics or related discipline.
* Professional certifications in cloud platforms (AWS, Azure or GCP).
* Experience supporting or operationalising machine‑learning models (e.g. model deployments, monitoring, ML pipelines).
* Exposure to advanced analytics frameworks (e.g. scikit‑learn, MLflow, Databricks Runtime).
* Proficiency in containerisation and IaC (Docker, Kubernetes, Terraform, Bicep).
Beneficial Experience
* Strong expertise in at least one major cloud platform (Azure preferred).
* Hands‑on experience with cloud‑native data services such as Databricks, Synapse Analytics, BigQuery, Redshift or Snowflake.
* Experience with distributed processing frameworks such as Apache Spark, Kafka or Flink.
* Familiarity with data visualisation and BI requirements to support downstream consumers.
Additional Information
Please note that for this specific position we are not able to provide visa sponsorship.
The selected candidate must be able to obtain security clearance.
About AECOM
AECOM is the world’s trusted infrastructure consulting firm, delivering professional services throughout the project lifecycle – from advisory, planning, design and engineering to programme and construction management. On projects spanning transportation, buildings, water, new energy and the environment, our public‑ and private‑sector clients trust us to solve their most complex challenges.
Freedom to Grow in a World of Opportunity
You will have the flexibility you need to do your best work with hybrid work options. Whether you’re working from an AECOM office, remote location or at a client site, you will be working in a dynamic environment where your integrity, entrepreneurial spirit and pioneering mindset are championed. You will help us foster a safe and respectful workplace, where we invite everyone to bring their whole selves to work using their unique talents, backgrounds and expertise to create transformational outcomes for our clients.
AECOM provides a wide array of compensation, benefits and well‑being programs to meet the diverse needs of our employees and their families. We’re the world’s trusted global infrastructure firm, and we’re in this together – your growth and success are ours too.
Join us, and you’ll get all the benefits of being a part of a global, publicly traded firm – access to industry‑leading technology and thinking and transformational work with big impact and work flexibility.
EEO Statement
All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr