Job Description

Data Engineer

Closing date for applications: Friday 3rd July 2026

Purpose of Job

To design, develop, and maintain data pipelines, architecture, and analytics platforms that enable real-time decision-making, operational efficiency, and strategic planning across railway functions.

The role supports key business areas including fleet reliability, customer insight, financial modelling, and predictive maintenance

Principal Accountabilities

• Build scalable data pipelines using ETL/ELT frameworks to ingest structured and unstructured data from operational and enterprise systems

• Develop and optimise data models for performance, clarity, and downstream analytics alignment

• Maintain secure and compliant data warehouses, lakes, and marts supporting diverse business domains

• Connect railway systems (e.g. engineering logs, depot systems, CRM, ticketing platforms) into unified data environments

• Automate data flows and refresh schedules using orchestration tools to support real-time monitoring and reporting

• Collaborate with IT and system owners to resolve integration issues, data gaps, or quality inconsistencies

• Apply data validation, cleansing, and transformation rules to ensure accuracy and reliability

• Support metadata management, lineage tracking, and audit protocols in line with governance standards (e.g. GDPR, ISO 27001)

• Collaborate with compliance, safety, and finance teams to ensure integrity of regulatory and commercial reporting outputs

• Work closely with data analysts, BI developers, and data scientists to deliver usable datasets, feature engineering, and model-ready structures

• Assist in the development of dashboards, forecasting tools, and machine learning platforms

• Contribute to rail-specific use cases including fault prediction, delay analysis, customer segmentation, and energy optimisation

• Manage cloud and on-premises data environments using platforms such as Azure, AWS, GCP, and Snowflake

• Develop using programming languages and tools

• Support API development, containerisation and CI/CD pipelines as needed.

Experience, Knowledge, Qualifications & Training

Essential:

• Experience in data engineering, software development, or systems integration within large or regulated organisations

• Proficiency in SQL and Python, along with familiarity with cloud-based data platforms

• Strong understanding of ETL processes, data architecture, and performance optimisation techniques

• Exposure to transport, logistics, or infrastructure sectors with IoT or telematics integration

• Experience working with large-scale operational data sets (e.g. reliability logs, telemetry feeds, maintenance systems)

Diversity & Inclusion

At CrossCountry, we believe our people should reflect the diverse communities we serve. Inclusion isn’t just part of our strategy — it’s central to our success. We’re committed to creating a workplace where everyone feels valued, respected, and supported to be their best.

Click Apply Now to take the next step in your journey with CrossCountry Trains.

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