Senior Data Engineer at Aecom USA

Bristol, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud-Based Solutions, Python, SQL, Data Modelling, ETL, CI/CD, APIs, Data Quality, Machine Learning, Containerisation, DevOps, Analytical Workflows, Data Governance, Big Data, Collaboration

Industry

Civil Engineering

Description

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 Senior Data Engineer to play a key role in designing, delivering, and optimising 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: Technical Leadership & Solution Delivery 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. Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external, facing projects. Collaboration & Stakeholder Engagement 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. Quality, Governance & Operational Excellence 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. Innovation, Prototyping & Continuous Improvement 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. Mentoring & Team Development Provide technical guidance, code reviews, and coaching to junior and mid-level data engineers. Champion knowledge-sharing, standardisation, and collaborative team practices. Qualifications Minimum Requirements 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). Soft Skills Excellent communication skills with the ability to simplify technical concepts for non-technical audiences. Strong analytical mindset, with the ability to identify issues, propose solutions, and make architecture recommendations. Ability to lead, mentor, and influence teams while remaining hands-on. A proactive, experimental, and continuous learning approach to emerging technologies. Strong organisational skills and the ability to manage multiple tasks in parallel. Additional Information 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 program 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. Our teams are driven by a common purpose to deliver a better world through our unrivaled technical and digital expertise, a culture of equity, diversity and inclusion, and a commitment to environmental, social and governance priorities. AECOM is a Fortune 500 firm and its Professional Services business had revenue of $14.4 billion in fiscal year 2023. See how we are delivering sustainable legacies for generations to come at aecom.com and @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. We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address [email protected] if you would like to apply through the Disability Confident Interview Scheme. All your information will be kept confidential according to EEO guidelines.

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Responsibilities

The Senior Data Engineer will lead major components of the data solution lifecycle, ensuring the delivery of robust and scalable data architecture. This role involves collaboration with cross-functional teams and mentoring junior engineers.