Data Engineer

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.

Did you know you can set up alerts for new job opportunities?

Simply navigate to 'My Job Alerts' in the Jobs Hub to get started.