Responsibilities

Engineering Data & Integrity

• 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 (design pipelines that handle dirty data and flag discrepancies) underpins current and future business needs.
• Enable and support organisational AI initiatives by providing trusted data foundations and deploying advanced technologies and tools, including Generative AI and Large Language Models, to end users.
• Establish and enforce data standards, naming conventions, and classification rules across engineering datasets.

Product Design Change Management Integrity

• Strategy and Architecture – design, implement and manage the end-to-end data platforms which control product design change, ensuring all changes are correctly assessed, approved, implemented, and recorded.
• Pipeline and Infrastructure – drive the creation of scalable and efficient pipelines and processing systems for data ingestion, transformation and access - including engineering change requests (ECRs), engineering change proposals (ECPs), and change implementation activities.
• Ensure design changes maintain data compliance with safety, security (RBAC) secure data transfer protocols (sensitive data).

Data Governance and Quality through Technical Change Control

• Establish and enforce data management, security and compliance policies ensuring high data quality and integrity by administering formal technical change control processes, ensuring that technical impacts, dependencies, and risks are fully evaluated.
• Maintain accurate change histories and configuration baselines throughout the product lifecycle.
• Support configuration audits and design reviews by providing authoritative data sets.

Data Integrity & Assurance

• Ensure engineering data platforms remains accurate, complete, secure, fit for purpose and align with regulatory frameworks e.g., SOC2, ISO 27001, HIPAA.
• Perform regular data quality assessments and audits to identify discrepancies or integrity risks.
• Drive continuous improvement initiatives to reduce data errors, rework, and inefficiencies.

Cross-Functional Collaboration

• Act as the primary interface between data sciences, analytics, engineering, manufacturing, quality, supply chain, and programme teams on data-related matters.
• Provide expert advice on data governance, emerging techniques and technologies, drive adoption of new tools configuration status accounting, and promote DevOps.
• Support internal and external stakeholders, including customers and regulatory authorities.

Tools, Systems & Continuous Improvement

• Manage and optimise the use of tools (e.g. Apache Spark, AWS Glue, Databricks or equivalent).
• Support system enhancements of data processing and transformation, migrations, and process improvements.
• Contribute to the development of engineering data management policies, procedures, and training materials that support Data Lakehouses.

Benefits and Work Culture

Benefits

• Competitive salaries.
• 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)
• 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, including Health Cashplan, Dental, and Cycle to Work amongst others.
• Enhanced sick pay.
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave.

Work Culture

• 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.
• Early 1.30pm finish Friday, start your weekend early!
• A grownup flexible working culture that is output, not time spent at desk, focused. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities.
• Up to 5 paid days volunteering each year.

RTX

Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon.

Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over £2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We’re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.

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RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

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