Data Engineer - 12 months' Fixed Term Contract

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:

• Build, configure, and maintain a modern cloud‑based data platform in alignment with architectural blueprints and design standards.
• Develop robust data pipelines that ingest, transform, and publish data from multiple source systems into trusted reporting layers.
• Ensure solutions support financial reporting requirements including accuracy, completeness, auditability, and traceability.

Collaboration & Technical Input:

• Work closely with Data Architects to refine designs, challenge assumptions, and contribute engineering insights to architectural decisions.
• Collaborate with wider technology teams, business stakeholders, and programme partners to ensure solutions meet operational and reporting needs.
• Support the evaluation and adoption of modern data engineering tools, patterns, and practices.

Data Quality, Security & Governance:

• Implement engineering practices that ensure high data quality, including validation, monitoring, reconciliation, and automated testing.
• Embed security‑by‑design, including encryption, access control, secure data movement, and compliance with regulatory requirements.
• Support data governance activities by ensuring consistent use of metadata, lineage, and cataloguing standards.

Operational Excellence:

• Build resilient, high‑performing data solutions capable of supporting financial reporting workloads.
• Develop and maintain reusable data engineering patterns, components, and frameworks.
• Monitor platform performance, troubleshoot issues, and optimise data processes for efficiency and reliability.

Key Responsibilities

Essential:

• Proven experience as a Solution Architect on large-scale transformation programmes, ideally involving MES platforms or manufacturing/operational systems.
• Strong understanding of MES solutions, production workflows, shop‑floor operations, automation technologies, and related integration patterns.
• Experience with enterprise architecture frameworks (TOGAF or equivalent).
• Strong knowledge in:
  • Application architecture for MES and manufacturing systems
  • Data architecture, lineage, record management, and governance
  • Security principles in operational and regulated environments
  • Integration technologies (API, message‑based, OT interfaces, middleware)
• Experience collaborating with third‑party consultancy partners within structured transformation initiatives.
• Experience working within a highly regulated manufacturing environment (e.g., pharma, medical devices, aerospace, food & beverage).

Desirable Skills:

• Familiarity with automation/OT concepts (e.g., PLCs, SCADA, historians), though not as a primary specialism.
• Understanding of validation processes, GMP requirements, and manufacturing compliance frameworks.
• 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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