At a Glance
- Tasks: Manage engineering data integrity and support innovative AI initiatives.
- Company: Join Raytheon UK, a leader in defence and aerospace technology.
- Benefits: Competitive salary, flexible working, 25 days holiday, and enhanced family policies.
- Other info: Enjoy a dynamic workplace with opportunities for volunteering and professional development.
- Why this job: Shape the future of national security while growing your career in a collaborative environment.
- Qualifications: Degree in Engineering or related field with experience in data management.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is collaborating with Raytheon to connect them with exceptional professionals for this role. If you are interested in applying for this job, please make sure you meet the following requirements as listed below.
Location: Gloucester
Security Clearance Required: Baseline BPSS and SC
Duration: Permanent
Hours: 37hrs per week
At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do.
About the role:
The Engineering Data Manager is responsible for the governance, integrity, and lifecycle management of engineering data across product development and in‑service support activities. This role ensures that product design changes, technical changes, and configuration data are accurately controlled, authorised, and maintained within approved systems in accordance with internal procedures, customer requirements, and regulatory standards.
Skills and Experience:
- HNC/HND or Degree in Engineering, Engineering Management, or a related technical discipline.
- Proven experience in engineering data management, configuration control, or design change management.
- Strong understanding of product lifecycle management (PLM) concepts.
- Experience managing design and technical change in complex engineering environments.
- Demonstrated ability to maintain high levels of data integrity, accuracy, and traceability.
- Strong stakeholder management and communication skills.
- Ability to work effectively in regulated industries (e.g. aerospace, defence, automotive, rail, energy).
Desirable Skills & Experience:
- Experience with PLM/PDM systems such as Windchill, Teamcenter, or Enovia.
- Knowledge of configuration management standards (e.g. ISO 10007, EIA‑649).
- Familiarity with quality and regulatory frameworks (e.g. AS9100, ISO 9001).
- Experience supporting audits, certifications, or customer data deliverables.
- Understanding of digital thread / digital twin concepts.
- Highly organised with strong attention to detail.
- Analytical and methodical problem‑solver.
- Confident in challenging non‑compliance and driving best practice.
- Comfortable working across multiple projects and prioritising effectively.
- Committed to continuous improvement and data excellence.
Responsibilities:
- Own and maintain the integrity of engineering data infrastructure, defining strategy and leading the technical execution of change to ensure reliable data pipelines for analytics and business needs.
- Enable rapid improvements in Master Data quality to support effective data exploitation and the adoption of new and evolving systems.
- Ensure raw engineering data is accurately transformed into usable data assets through effective structuring, version control, and full traceability of product definitions, including drawings, models, specifications, and Bills of Material (BOMs).
- Support the exploitation of engineering data by ensuring data integrity underpins current and future business needs.
- Establish and enforce data standards, naming conventions, and classification rules across engineering datasets.
- Design, implement and manage the end-to-end data platforms which control product design change.
- Drive the creation of scalable and efficient pipelines and processing systems for data ingestion, transformation and access.
- Establish and enforce data management, security and compliance policies ensuring high data quality and integrity.
- Maintain accurate change histories and configuration baselines throughout the product lifecycle.
- Ensure engineering data platforms remain accurate, complete, secure, fit for purpose and align with regulatory frameworks.
- Act as the primary interface between data sciences, analytics, engineering, manufacturing, quality, supply chain, and programme teams on data-related matters.
- Manage and optimise the use of tools (e.g. Apache Spark, AWS Glue, Databricks or equivalent).
Benefits and Work Culture:
- Competitive salaries.
- 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days.
- Contributory Pension Scheme (up to 10.5% company contribution).
- Company bonus scheme (discretionary).
- 6 times salary ‘Life Assurance’ with pension.
- Flexible Benefits scheme with extensive salary sacrifice schemes.
- Enhanced sick pay.
- Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave.
- 37hr working week, although hours may vary depending on role.
- Early 1.30pm finish Friday.
- A grownup flexible working culture that is output, not time spent at desk, focussed.
- Up to 5 paid days volunteering each year.