Data Engineer (3574)

Data Engineer (3574)

Full-Time 50000 - 60000 Β£ / year (est.) No working from home possible
GTR

At a Glance

  • Tasks: Design and maintain data models and pipelines for advanced analytics and machine learning.
  • Company: Join one of the UK's busiest and award-winning rail companies.
  • Benefits: Final salary pension, 25 days holiday, and a collaborative work environment.
  • Other info: Dynamic role with opportunities for growth in a large-scale enterprise environment.
  • Why this job: Make a real impact on data solutions that drive operational insights and decision-making.
  • Qualifications: Experience in data engineering, SQL skills, and a degree in a related field.

The predicted salary is between 50000 - 60000 Β£ per year.

GTR are recruiting a Data Engineer based out of Monument Place. This is a great opportunity for an individual with a proven track record to work for one of the country's busiest and award-winning rail companies.

Job Purpose

As 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 Accountabilities:

  • Design, build and maintain curated data models within the DataHub platform (including Lakehouse, Warehouse and semantic models) to support reporting, analytics and downstream ML use cases.
  • Accountable for data quality and engineering standards up to the semantic model layer; report creation and interpretation sit with Pro licence holders in the business.
  • Develop, maintain and monitor ETL / ELT pipelines using Microsoft Fabric pipelines and associated tooling.
  • Work closely with analysts and SMEs across the business to understand requirements, shape use cases and translate these into robust data solutions.
  • Support delivery across the full project lifecycle, from initial scoping and design through development, testing and controlled deployment.
  • Ensure data models are performant, scalable, well documented and aligned to agreed architectural and governance standards.
  • Collaborate with the Insight & Governance team to ensure data structures are suitable for machine learning, predictive analytics and AI workloads.
  • Contribute to data quality monitoring, issue resolution and continuous improvement of existing datasets.
  • Adhere to agreed platform governance, deployment and change management processes (Dev / UAT / Production).

Knowledge:

  • Strong understanding of data engineering principles, including data modelling, ETL / ELT and pipeline orchestration.
  • Good understanding of medallion architecture (Bronze / Silver / Gold) and analytical data modelling patterns.
  • Awareness of how data models support advanced analytics, machine learning and AI use cases.

Skills:

  • Strong SQL and data transformation skills.
  • Experience working with Microsoft Fabric, including Lakehouse, Warehouse, semantic models, notebooks and pipelines.
  • Ability to engage constructively with non-technical stakeholders and understand business context and constraints.
  • Strong documentation skills and attention to detail.

Experience:

  • Experience delivering data engineering solutions in an enterprise or large-scale environment.
  • Experience supporting reporting and analytics platforms (e.g. Power BI).
  • Experience working within formal delivery, governance and change management processes.
  • Degree in Data Science, Computer Science, Statistics, Mathematics or related discipline or equivalent experience.

What we can offer you:

  • Final salary pension
  • 25 days holiday plus

Data Engineer (3574) employer: GTR

GTR is an exceptional employer, offering a dynamic work environment at Monument Place where innovation meets collaboration. As a Data Engineer, you will not only contribute to cutting-edge data solutions but also benefit from a culture that prioritises employee growth, with opportunities for professional development and a supportive team atmosphere. With competitive benefits including a final salary pension and generous holiday allowance, GTR is committed to fostering a rewarding career for its employees in one of the UK's busiest rail companies.

GTR

Contact Details:

GTR Recruitment Team

We think you need these skills to ace Data Engineer (3574)

SQL
Python
Communication Skills
Problem-Solving Skills
Data Engineering
Data Pipeline Development
API Integration