Data Engineer

Job Details

Date Posted:
Country: United Kingdom
Location: Harlow, Essex
Position Role Type: Hybrid
Job Title: Data Engineer
Grade: P3
Function: DT
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.

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.

• 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.

• 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).