Senior Data Engineer

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 AECOMs 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

• Bachelors 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

• Masters 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 worlds 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 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 youre 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. Were the worlds trusted global infrastructure firm and were in this together your growth and success are ours too.

Join us and youll 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 persons potential and well 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   if you would like to apply through the Disability Confident Interview Scheme.

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time