Data Engineer

at  Mott MacDonald

EQUALITY, DIVERSITY, AND INCLUSION

We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute.

OVERVIEW OF ROLE

The Technology & Systems(T&S) team within Mott MacDonald provides a diverse range of software, systems and related digital and data services for clients throughout the UK, internationally and within the Mott MacDonald group. We provide a dynamic, project-orientated environment, with teams involved in the full lifecycle of software, system and technical service delivery.
While our primary domain is in the Transport sector, we increasingly provide transferable technical capabilities across multiple domains supporting cross-sector projects. The combination of these allows us to play our part in Mott MacDonald’s carbon neutral certification and improving social outcomes objectives.
With the growth in demand for Data Engineering and related skills across the business and our client based, we are expanding our existing capabilities with a new Data Engineer position. You will be based out of one of our UK offices, with a hybrid blend of home-based and office-based working.
The Data Engineer will be responsible for designing, developing, and maintaining data pipelines and architectures for internal and external client facing technology and infrastructure projects. This role involves working with large datasets, ensuring data quality, and collaborating with data scientists and analysts to support data-driven decision-making.

Role Responsibilities

• Design, develop and maintain scalable data architectures and databases.
• Design and implement data pipelines to collect, process, transform and store data from various sources.
• Ensure data quality and integrity through monitoring and validation.
• Collaborate with data scientists, analysts, software engineers and users to understand data requirements and deliver solutions.
• Optimize data processing workflows for performance and efficiency.
• Implement data security and privacy measures in compliance with corporate governance and regulations.
• Stay updated on the latest data engineering trends and technologies.