Data Engineer
Role details
Job location
Tech stack
Job description
Data Engineers will be responsible for helping collect and convert the data into useful data products, ready to be consumed and visualised. The successful candidate will play a key role in developing and maintaining data pipelines, ensuring the accuracy and availability of data, and supporting the creation of insightful visualisations. The ideal candidate will have experience working with railway industry data, along with proficiency in tools such as FME and Microsoft Power Platform., * Design, develop, and maintain robust data pipelines to collect, process, and store data from various sources within Network Rail s routes
- Ensure data quality, integrity, and availability by implementing appropriate validation, transformation, and cleaning processes.
- Collaborate with the data visualisation team to provide clean and well-structured data that supports the development of insightful and user friendly visualisations.
- Apply industry-specific knowledge to work with railway data, ensuring that the data solutions developed are relevant, accurate, and aligned with industry standards.
- Implement and maintain data governance standards to ensure compliance with legal and regulatory requirements.
- Ensure that all data handling practices meet Network Rail s security
- and privacy policies.
- Monitor and optimise data pipeline performance to ensure efficient data
- processing and minimal downtime.
- Troubleshoot and resolve data-related issues in a timely manner.
- Maintain comprehensive documentation of data processes, pipelines,
- and system architecture.
Requirements
- Proven experience as a Data Engineer, preferably within the railway or transport sector
- Strong proficiency with FME and Microsoft Power Platform tools.
- Solid understanding of data integration, ETL processes, and data warehousing concepts.
- Experience working with railway industry data, including familiarity with relevant standards and regulations.
- Proficiency in SQL, Python, and/or other relevant programming languages.
- Experience with cloud-based data solutions (e.g., Azure, AWS).
- Experience of working in an agile environment.
- Analytical mindset with a focus on data accuracy and quality.
- Strong problem-solving skills and attention to detail.
- Ability to work independently and as part of a team in a fast-paced environment.
- Strong communication skills with the ability to explain complex technical concepts to a non-technical audience.