Date Posted:
2026-03-06
Country:
United Kingdom
Location:
Harlow, Essex
Position Role Type:
Hybrid
Job Title: Data Engineer
Grade: P3
Function: DT
Location: Harlow (Hybrid)
Clearance Required: SC Eligible
Duration: Fixed Term Contract – 12 months
Hours: Full Time – 37 hours per week
Raytheon UK
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. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.
About the role:
We are seeking a skilled Data Engineer to join our technology organisation as part of a major financial reporting transformation programme. Working closely with Data Architects and the wider Digital Technology teams, the Data Engineer will play a central role in building a foundational cloud data platform that aligns with enterprise design principles and supports the organisation’s evolving financial reporting needs.
The successful candidate will bring technical expertise, engineering discipline, and a strong understanding of modern data platforms and tooling. Operating within a highly regulated environment, they will help design and deliver secure, reliable, and scalable data capabilities that can collect, transform, protect, and present data effectively for business consumers.
Key Responsibilities:
Data Platform Engineering:
1. Build, configure, and maintain a modern cloud‑based data platform in alignment with architectural blueprints and design standards.
2. Develop robust data pipelines that ingest, transform, and publish data from multiple source systems into trusted reporting layers.
3. Ensure solutions support financial reporting requirements including accuracy, completeness, auditability, and traceability.
Collaboration & Technical Input:
4. Work closely with Data Architects to refine designs, challenge assumptions, and contribute engineering insights to architectural decisions.
5. Collaborate with wider technology teams, business stakeholders, and programme partners to ensure solutions meet operational and reporting needs.
6. Support the evaluation and adoption of modern data engineering tools, patterns, and practices.
Data Quality, Security & Governance:
7. Implement engineering practices that ensure high data quality, including validation, monitoring, reconciliation, and automated testing.
8. Embed security‑by‑design, including encryption, access control, secure data movement, and compliance with regulatory requirements.
9. Support data governance activities by ensuring consistent use of metadata, lineage, and cataloguing standards.
Operational Excellence:
10. Build resilient, high‑performing data solutions capable of supporting financial reporting workloads.
11. Develop and maintain reusable data engineering patterns, components, and frameworks.
12. Monitor platform performance, troubleshoot issues, and optimise data processes for efficiency and reliability.
Key Responsibilities
Essential:
13. Proven experience as a Solution Architect on large-scale transformation programmes, ideally involving MES platforms or manufacturing/operational systems.
14. Strong understanding of MES solutions, production workflows, shop‑floor operations, automation technologies, and related integration patterns.
15. Experience with enterprise architecture frameworks (TOGAF or equivalent).
16. Strong knowledge in:Application architecture for MES and manufacturing systemsData architecture, lineage, record management, and governanceSecurity principles in operational and regulated environmentsIntegration technologies (API, message‑based, OT interfaces, middleware)
17. Experience collaborating with third‑party consultancy partners within structured transformation initiatives.
18. Experience working within a highly regulated manufacturing environment (e.g., pharma, medical devices, aerospace, food & beverage).
Desirable Skills:
19. Familiarity with automation/OT concepts (e.g., PLCs, SCADA, historians), though not as a primary specialism.
20. Understanding of validation processes, GMP requirements, and manufacturing compliance frameworks.
21. Experience with reporting, analytics, or data visualisation tools used in operational settings.
Personal Attributes:
· Strong analytical and problem‑solving skills.
· Clear and confident communicator, able to work with technical and non‑technical stakeholders.
· Pragmatic, collaborative, and able to influence outcomes across diverse teams.
· Detail‑oriented with the ability to balance deep technical work and broader architectural alignment.
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