Company Description
Work with Us. Change the World.
At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We're one global team driven by our common purpose to deliver a better world. Join us.
Job Description
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.
As a Data Engineer, you will be responsible for delivering components of the data solution lifecycle, ensure solutions adhere to standard quality metrics (scalability, secure, resilient etc) and design data-driven data architecture that serves value and delivers insight. Your work will directly support AECOM’s mission to deliver innovative and sustainable solutions to our clients.
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.
Key Responsibilities :
1. Develop concepts through the solution lifecycle, ensuring scalability and optimisation whilst considering cost.
2. Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external, facing projects.
3. Demonstrate that solutions have met client performance, quality, security, and governance expectations.
4. Collaborate with cross-functional data teams to gather client requirements.
Quality, Governance & Operational Excellence
5. 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.
6. Collaborate with project managers, architects, and technical teams to ensure seamless integration of data solutions within wider digital ecosystems.
7. Uphold data engineering best practices including code quality, testing, CI/CD, and documentation standards.
8. Adhere to project data governance controls, including metadata management, access controls, data lineage, PII protection, and compliance with organisational and regulatory requirements.
9. Develop monitoring and alerting strategies for data solutions, maintaining high availability, performance, and reliability.
10. Troubleshoot complex issues across infrastructure, data solutions, and custom analytical products.
Innovation, Prototyping & Continuous Improvement
11. Continuously explore new cloud capabilities, data platforms, and modern data stack tools to drive innovation within the team.
12. Foster a culture of knowledge-sharing, standardisation, and collaborative team practices.
Qualifications
Minimum requirements:
13. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent professional experience).
14. 3+ years of experience in data engineering or data science fields, preferably in infrastructure, environmental, or urban development sectors.
15. Professional experience designing and delivering cloud-based data engineering solutions at scale.
16. Advanced proficiency in at least one programming language commonly used in data engineering (Python preferred; Scala, Java, or C# also beneficial).
17. Strong SQL skills and deep understanding of relational databases, non-relational stores, and data warehouse principles.
18. Solid experience with data modelling methodologies (dimensional modelling, star/snowflake schemas, data vault, etc.).
19. Strong grounding in analytical workflows and support for data-science activities (feature engineering, data preparation, exploratory analysis).
20. Experience designing and operating ETL/ELT pipelines and modern workflow orchestration tools (e.g., Apache Airflow, Azure Data Factory, Azure Functions).
21. Practical experience with CI/CD, version control (Git), testing frameworks, and DevOps practices.
22. Understanding of APIs, REST principles, and data integration patterns.
23. Experience implementing data quality, validation, and observability frameworks.
Preferred qualifications:
24. Professional certifications in cloud platforms (AWS, Azure, or GCP).
25. Experience with cloud-native data services (e.g., Databricks, Synapse Analytics, BigQuery, Redshift, Snowflake) and distributed processing frameworks (e.g., Apache Spark, Kafka, Flink).
26. Familiarity with data visualisation and BI requirements to support downstream consumers.
27. Exposure to advanced analytics frameworks (e.g., scikit-learn, MLflow).
28. Proficiency in containerisation and IaC (Docker, Kubernetes, Terraform, Bicep).
Soft Skills:
29. Good communication skills with the ability to simplify technical concepts for non-technical audiences.
30. Strong analytical mindset, with the ability to identify issues, propose solutions, and make architecture recommendations.
31. A proactive, experimental, and continuous learning approach to emerging technologies.
32. Strong organisational skills and the ability to manage multiple tasks in parallel.
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
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. As an Equal Opportunity Employer, we believe in each person’s potential, and we’ll help you reach yours.
All your information will be kept confidential according to EEO guidelines.
ReqID: J10140837
Business Line: Geography OH
Business Group: DCS
Strategic Business Unit: Europe & India
Career Area: Digital & Engineering Technology
Work Location Model: Hybrid