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- Tasks: Build and maintain a modern cloud data platform for financial reporting.
- Company: Join Raytheon UK, a leader in defence and aerospace technology.
- Benefits: Hybrid work, professional development, and a collaborative environment.
- Other info: Opportunity to work in a highly regulated and innovative environment.
- Why this job: Make a real impact on national security while advancing your career.
- Qualifications: Experience in data engineering and strong analytical skills required.
The predicted salary is between 50000 - 60000 ÂŁ per year.
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.
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.
Data Engineer - 12 months' Fixed Term Contract in Harlow employer: RTX
Contact Detail:
RTX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - 12 months' Fixed Term Contract in Harlow
✨Tip Number 1
Network like a pro! Reach out to current employees at Raytheon UK on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about data platforms, cloud solutions, and any relevant tools. We want to see that you’re not just a fit on paper but also in practice!
✨Tip Number 3
Showcase your problem-solving skills during interviews. Be ready to discuss past projects where you tackled challenges head-on. We love candidates who can think on their feet and come up with innovative solutions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Raytheon UK.
We think you need these skills to ace Data Engineer - 12 months' Fixed Term Contract in Harlow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight relevant experience and skills that match the job description, especially around data platforms and engineering practices. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our mission at Raytheon UK. Let us know what excites you about working in defence and aerospace technology.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! Mention specific tools, technologies, and methodologies you've used in past projects. We’re looking for someone who can hit the ground running, so make it clear how you fit the bill.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at RTX
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Understand cloud platforms, data pipelines, and the tools commonly used in the industry. Be ready to discuss how you've applied these concepts in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working closely with Data Architects and other teams, be prepared to share examples of how you've successfully collaborated in previous roles. Highlight your ability to communicate technical concepts to non-technical stakeholders.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical and problem-solving skills. Prepare to discuss specific challenges you've faced in data engineering and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand Regulatory Requirements
Given the highly regulated environment of the role, it's crucial to show your understanding of data governance and security principles. Familiarise yourself with relevant regulations and be ready to discuss how you've ensured compliance in your previous work.