Data Engineer
- London, United Kingdom
Posted 3 days ago
About the role
Salary:
Competitive
Location:
Monument Place
Contract Type:
Permanent
Closing Date:
11 September 2026
Data Engineer
Location: Hybrid, Monument Place
Reporting to: Platform Lead
Are you passionate about creating scalable data solutions that drive business insight, support operational decision making and enable the next generation of AI capabilities?
At GTR, we're looking for a talented Data Engineer to join our growing Data & AI function and help shape the future of our enterprise DataHub platform.
What You'll DoAs a Data Engineer, you will design, build and maintain high-quality data models and pipelines within GTR's DataHub platform to enable trusted reporting, analytics and advanced machine learning use cases. You will work closely with analysts across the business to translate requirements into performant, well-governed data products that support both operational insight and future predictive work.
While the role is primarily technical, you will be expected to demonstrate sufficient business understanding to work effectively with subject matter experts, understand end-to-end use cases, and deliver data solutions that genuinely meet operational and decision-making needs.
Key Responsibilities
- Design, build and maintain curated data models within the DataHub platform, including Lakehouse, Warehouse and semantic models.
- Develop, maintain and monitor ETL/ELT pipelines using Microsoft Fabric pipelines and associated tooling.
- Work closely with analysts and subject matter experts to understand business requirements and translate them into robust data solutions.
- Ensure data models are scalable, performant, well documented and aligned to agreed governance and architectural standards.
- Contribute to data quality, continuous improvement initiatives and the development of data structures that support analytics, machine learning and AI workloads.
What You'll Bring
- Experience delivering data engineering solutions within an enterprise or large-scale environment.
- Strong understanding of data engineering principles, including data modelling, ETL/ELT development and pipeline orchestration.
- Experience working with Microsoft Fabric, including Lakehouse, Warehouse, semantic models, notebooks and pipelines.
- Strong SQL and data transformation skills.
- Degree in Data Science, Computer Science, Statistics, Mathematics or a related discipline, or equivalent practical experience.
Desirable
- Experience supporting reporting and analytics platforms such as Power BI.
- Knowledge of Medallion Architecture (Bronze, Silver and Gold) and analytical data modelling patterns.
- Understanding of how data platforms support advanced analytics, machine learning and AI use cases.
- Experience working within formal governance, deployment and change management processes.
- Strong stakeholder engagement skills with the ability to work effectively with both technical and non-technical audiences.
Why Join Us?
This is an exciting opportunity to join GTR's growing Data & AI function and help build the trusted data foundations that support reporting, analytics, machine learning and AI across the organisation.
You'll work with modern Microsoft technologies, collaborate with Data Architects, Data Scientists and AI Engineers, and play a key role in enabling data-driven decision making across one of the UK's largest train operating companies.
Our culture is built around being Fair, Accountable, Collaborative, Transparent and Open-Minded, while ensuring everyone feels Valued, Respected and Safe.
Ready to Build the Future of Data at GTR?
If you're passionate about data engineering, modern cloud technologies and delivering solutions that make a real impact, we'd love to hear from you. Join us and help power the data-driven future of GTR.
How to Apply
Please complete the application form and submit your CV.
We look forward to hearing from you and exploring whether GTR could be your next career step.
Please note that we reserve the right to close this vacancy earlier than the advertised closing date if we receive a high volume of suitable applications.