We are recruiting a Data Configuration & Specification Engineer to work in our DMWS project team. This role will be based at home for the forseeable and will be linked to the Altran Bath office where some infrequent travel may be required.
Altran are developing a novel system for the railway industry. As Data Management Systems Engineer, you will focus on developing the Data Management & Quality Plan and then completing the Data Specification for the system, working with stakeholders to ensure it is fit for purpose and then supervising its implementation.
In this environment, the data (aka configuration data, trim data) is absolutely key to ensuring the system works as intended. The data will be of multiple types and generated in different ways. It will include basic parameters like timeouts but also complex data such as topology (how elements are logically connected) and topography (geographical positions).
The plan you will develop will need to include identifying data, identifying the stakeholders for sourcing that data as well as specifying tools for generating and verifying data. Your work will also need to include planning configuration management and control of the data which will be embedded in multiple systems, with nationwide deployment.
This role will involve interaction with a wide range of stakeholders within Altran, the client and also with additional suppliers. You will be expected to take the lead for this work, to work independently, driving this work forwards with minimal direction.
* Proven experience in the specification, configuration control and verification of configuration data/trim data.
* Knowledge of the Rail Domain is highly desirable
* Good understanding of the systems development lifecycle.
* The ability to quickly build effective working relationships with a cross-section of different stakeholders
* Excellent attention to detail.
* Well-developed organisational, oral and written communication skills
* Ability to think analytically and rigorously.
* Comfortable working independently with minimal supervision
* A degree or other higher education in a relevant engineering, mathematics or science discipline - or significant industrial experience. Either is highly desireable.
* Training and development is likely to reflect a multi-disciplinary background and a consistent approach to continuous professional development